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Business Unit:Cubic Transportation SystemsCompany Details:When you join Cubic, you become part of a company that creates and delivers technology solutions in transportation to make people’s lives easier by simplifying their daily journeys, and defense capabilities to help promote mission success and safety for those who serve their nation. Led by our talented teams around the world, Cubic is committed to solving global issues through innovation and service to our customers and partners.We have a top-tier portfolio of businesses, including Cubic Transportation Systems (CTS) and Cubic Defense (CD). Explore more on Cubic.com.Job Details:Reporting to the SVP and Managing Director EMEA, the Senior Director EMEA Business Development ITS will serve on the leadership team to drive the growth of the organization.Responsibility includes opening new markets and developing and implementing sales and marketing strategies within the region. This role is responsible for identifying, advocating, and pursuing business development opportunities related to business growth within the EMEA ITS market. Working within the EMEA leadership team incorporating operations, solutions, commercial, bids & proposals, the responsibility is to both retain and grow our existing customer base as well as lead on numerous large new opportunities and tenders, with the backing of the larger Cubic global team. This role typically works under limited supervision and direction and will regularly exercise discretionary and substantial decision-making authority. An entrepreneurial mind-set is critical. The candidate must be able to demonstrate a track record of winning and closing business within transportation.Essential Job Duties and Responsibilities:Leads country focused business development leaders within the EMEA region, with a specific focus on the ITS businessDevelop employee engagement and communication strategies to shape and build the CTS EMEA culture.Hire and develop talent to meet the needs of the business. Provide a clear vision, direction on goals and outcomes fostering a culture of ownership and accountability. Provide regular feedback and manage performance to achieve individual and team goals. Responsible for building a pipeline of talent to leadership succession.Develops and executes business plan related goals including revenue, bookings and profit.Develops strategic business and political relationships with Ministers, regional transport authorities, regional political leaders, treasury, etc.Drive digital marketing strategy, leveraging channels, tools and social media to develop new business.Develops and executes opportunity specific capture plans and strategies to ensure customer engagement is being performed based on best practice.Influences to ensure the right level of internal support is obtained to place Cubic in a leading position, maintaining a productive relationship with the business and engineering teams.Develops thought leadership-issues white papers to position Cubic as a leader in the EMEA region.Contract revenue/values between $5m - $100m.Exemplar CRM administration discipline (Salesforce), performing appropriate, accurate and realistic reporting and forecasting utilizing CRM data – leading by example.Helps oversee the timely production and compilation of quality written submissions for pre-qualification documents and tender quality statements.Ensures our solutions and product teams have access to clients and market influencers such as consultants.Improves competitive position by recommending new applications of systems, providing information on the technical development of systems and assisting in program planning.Maintains a thorough understanding of products, price to win, competition, market forces and customer needs in transportation.Comply with Cubic’s values and adherence to all company policy and procedures. Comply with the code of conduct, quality, security and occupational health, safety and environmental policies and procedures.In addition to the duties and responsibilities listed, the job holder is required to perform other duties assigned by their manager from time-to-time, as may be reasonably required of them.Minimum Job Requirements:Essential:Proven success in leading teams.Experience in successfully winning and growing business in transportation.Have an established contact and relationship base within the road transportation industry at all levels.Complete understanding of the Integrated Traffic Solutions and Traffic Management stakeholders and the industry standards & requirements by sales channel (Safety, Enforcement, Management, Control, Back Office, Communication, Surveillance, Signage)Thorough understanding of Home Office and industry hardware requirements (Camera’s, Barriers, Signage, CCTV, Communication Systems, Roadside Control, PA Systems)HSE Roadside Repair guidance, Highways Electrical Registration Scheme, GG 104 Framework NRSWA, TMP Guidelines experience/knowledgeExperience working with Adaptive traffic signal control systems, Traffic analytics and AI-driven optimization platforms, V2X / connected vehicle infrastructure, Smart corridor and smart city initiatives, Cloud-based transportation management platformsExperience in selling services, systems and/or products and recording data in Salesforce or similar toolExperience in securing large contract sales.Evidence of significant deal closure (likely to be multi-million dollar value deals) with system and service elementsAccount Management experience.Complex sales management experience with cross-functional teamsAbility to manage capture teams.Experience building and maintaining client relationships.Deal shaping and negotiation skills.Computer literacyDesirable:Project/Program management experienceIndustry experienceSales methodology training such as Shipley or Miller HeimanExpert knowledge of the public transportation sector in generalEducation and qualificationsEssential:Qualifications in Marketing, Engineering or Management or Marketing or equivalent relevant on the job experiencePersonal QualitiesStrong customer focus, ability to build trusted and lasting relationships.Good listening skills and empathyAbility to prioritize work, complete multiple tasks and work under deadlines.Ability to make substantial decisions without supervisionMust have excellent interpersonal and negotiation skills with a keen business and technical awarenessMust be self-motivated, creative and have the ability to work closely in a team environment with other departments and individuals at all levels in the organizationExtensive travel required - May be required to travel domestically and internationally and work off hours, in-line with customer requirementsPositive attitude with the ability to embrace changeThe description provided above is not intended to be an exhaustive list of all job duties, responsibilities and requirements. Duties, responsibilities and requirements may change over time and according to business need.Worker Type:EmployeeWe are committed to creating an inclusive workplace and welcome applications from people of all backgrounds. We do not discriminate based on any protected characteristic under applicable law. #J-18808-Ljbffr

Vice President, Build — Data, Engineering & AI跳至主要内容#Vice President, Build — Data, Engineering & AI page is loaded## Vice President, Build — Data, Engineering & AI申请locations: United Kingdom - Walton Oaks: Europe - Any Pfizer Sitetime type: 全职posted on: 今天发布job requisition id: 4960896Role purposeThe VP, Build — Data, Engineering & AI is the owner of the International Commercial build engine, accountable for turning prioritized demand into trusted, reusable and production-grade data, AI agents, solutions and technical services. The role owns the International commercial data foundation, engineering pool, solution architecture, AI evaluation, AgentOps, production run, technical standards, vendor/Systems Integrator delivery model and CIO-platform integration. Its mandate is to deliver speed without fragmentation, reuse without bureaucracy, and innovation with evidence, reliability, compliance and cost discipline.Enterprise scope and impactThis is a Vice President-level enterprise build role spanning the full path from data foundation to production AI. The role operates with senior stakeholders across International Commercial, CIO, CMO, Legal/Compliance, Finance, markets, strategic vendors and SI partners, with accountability for technical strategy, delivery capacity, production quality, run economics and integration with Pfizer’s enterprise platform standards.Operating-design safeguardsData Architect operates horizontally across the four Build sub-pillars to protect semantic standards, AI-ready criteria and data quality.Solution Architect operates horizontally to ensure solutions compose the data foundation, AICL and enterprise platform spine consistently.AI Evaluation & Assurance remains independent of builders and owns the evidence pack for ship/no-ship decisions.Product & Delivery leadership manages roadmap translation, scrum/programme delivery and capacity transparency across pods.Key responsibilities & accountabilitiesThe data foundationBuild the trusted commercial data foundation: L1–L4 squads working to one standard (the four data layers, raw to ready-to-use), including reporting & BI and the knowledge & unstructured squad that underpins retrieval quality for the AI Capability Library (AICL).Own semantic standards, inheritance rules and AI-ready criteria through the Data Architect; run the Collibra dictionary, master & reference data operations and the governance council.Own data quality and observability: shift-left checks, lineage and monitoring built in, not bolted on.Run data BAU — incidents, refreshes and access — baselined before any cost reduction is taken.Own data products and their owners (global and above-market, including the Customer / CRM and CFC (Customer Facing Colleagues) reporting products), with business data stewards dotted in from markets and functions.Manage the data-supply vendor relationships (IQVIA, Komodo, Optum, Veeva, etc..): data and delivery contracts, one door to Procurement.Engineering & AIOwn solution architecture: how solutions compose the data, the AICL and the platform, including model-tier selection — mirroring the Data Architect on the data side.Run one shared, deployable engineering pool crewed into pods; Systems Integration partners and contractors crew in — never as standing outside teams. Engineering talent is never fragmented, and capacity decisions are transparent against the agreed portfolio priority queue.Own product and delivery management: roadmap and translation on the way in; scrum and programme delivery on the way through.Build the agent library and standards; deliver the reusable data agents of the AICL and their agent-facing data contracts.Run AI evaluation and assurance independently of the builders: evals, red teaming, model-tier proof and the clearance evidence pack.Own AgentOps and technical run: agents and classic ML in production, AI cost operations, and solution run & support.The CIO seamOwn platform integration and the model gateway — routing each task to the right model, including small language models (SLMs) where quality holds.Be the one voice to the CIO on the platform spine; land the commercial data foundation as a certified source on Loom, including the Collibra-to-Loom reconciliation.Run & BAUKeep what is live running well: program support, maintenance, upgrades and data quality across the estate.Keep AI running costs visible and managed, feeding the cost signal back to Strategy, Value & Innovation.Key relationships & interfacesInternalHead of Business Transformation & Technology — International Commercial Division (direct line); peer for Strategy, Value & Innovation and Adoption & Scale.The CIO organisation — the platform spine and its milestone plan.Pillar 1 — one priority queue in, engineering capacity out; pods owned by Pillar 1 product owners and crewed from this pillar.Pillar 3 — hand-offs into adoption, localisation and the in-market network for everything shipped.Global Commercial Analytics — data scientists, engineers and project managers crewing into pods via the operating agreement.Legal & Compliance — privacy engineering dotted in for consent, PII and lawful basis.ExternalData-supply vendors (IQVIA, Komodo, Optum, Veeva) and SI partners (e.g. Accenture, Deloitte) crewing into the pool.Model and platform vendors through the CIO's model-access framework.Success measuresPrioritized use cases delivered to production with named owner, evidence pack, run model and sunset criteria.Data quality, lineage and observability coverage across priority data products.Time from funded demand to production.Production reliability, incident rate and support performance.AI evaluation coverage, red-team completion and model-tier proof before ship.Cost-to-serve, model-routing savings and reuse of AICL / agent patterns across markets.Leadership behaviours (Pfizer values)Courage — holds one priority queue against pressure from every direction and protects data from losing attention to the agent flagship.Excellence — one standard across the four layers; evaluation independent of the builders; production quality as a habit.Equity — one deployable pool serving all markets and functions, not the best-connected ones.Joy — engineers doing their best work in small, empowered pods, with agents drafting first-pass code and people reviewing, hardening and owning.Scope & decision rightsDecides technical architecture and standards from raw data to running agent, within the CIO platform guardrails.Owns delivery capacity allocation and crewing recommendations against the agreed portfolio priority queue, with escalation where demand exceeds capacity or technical risk changes sequencing.Owns the ship/no-ship evidence pack through independent evaluation; Legal & Compliance clears on that evidence.Owns data-supply and Systems Integrator vendor selection and contracts, with Procurement.Escalates to the Head of Business Transformation & Technology — International Commercial Division where priority conflicts exceed the plan of record.Experience & qualifications15+ years across data engineering and AI/ML or software delivery, with senior leadership of both data and engineering organisations — the rare end-to-end profile this role deliberately demands.A track record of building governed data platforms at enterprise scale (semantic layers, data products, quality and observability) and of shipping AI or agentic solutions into production.Experience running large engineering organisations (~50–100 including partners) as a flexible pool — pods, squads, deployable capacity — rather than fixed project teams.Vendor and SI management at scale, including data and delivery contracts.Prior senior leadership (Senior Director / VP level) in biopharma or another regulated data environment strongly preferred; degree in a technical discipline required, advanced degree preferred.Proven ability to operate as a senior enterprise leader in a complex global matrix, influencing senior business, technology, legal/compliance, medical, finance, PX and market stakeholders without relying solely on direct authority.Technical skills & knowledgeModern data architecture: layered data platforms (raw to ready-to-use), governed semantics, data contracts, catalogues (e.g. Collibra), lineage and observability.Agentic AI: agent platforms and registries, model gateways and model-tier selection including SLMs, evaluation and red-teaming practice, AgentOps and production ML.Cloud data and analytics stacks (e.g. Snowflake) and integration with enterprise data fabrics.AI cost operations: metering, routing and cost-per-outcome management.Engineering leadership: agile delivery at scale, platform engineering, DevOps and run practices.Purpose Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives. Digital Transformation StrategyOne bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.Flexibility We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation! Equal Employment Opportunity We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.DisAbility ConfidentWe are proud to be a Disability Confident Employer and we encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments necessary to support your application and future career. Our mission is unleashing the power of our people, especially those with unique superpowers. Your journey with Pfizer starts here!To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers. #J-18808-Ljbffr

\n Vice President, Build — Data, Engineering & AI\n We’re in relentless pursuit of breakthroughs that change patients’ lives. We innovate every day to make the world a healthier place. \n To fully realize Pfizer’s purpose – Breakthroughs that change patients’ lives – we have established a clear set of expectations regarding “what” we need to achieve for patients and “how” we will go about achieving those goals. \n Pfizer offers competitive compensation and benefits programs designed to meet the diverse needs of our colleagues. \n The VP, Build — Data, Engineering & AI is the owner of the International Commercial build engine, accountable for turning prioritized demand into trusted, reusable and production-grade data, AI agents, solutions and technical services. The role owns the International commercial data foundation, engineering pool, solution architecture, AI evaluation, AgentOps, production run, technical standards, vendor/Systems Integrator delivery model and CIO-platform integration. Its mandate is to deliver speed without fragmentation, reuse without bureaucracy, and innovation with evidence, reliability, compliance and cost discipline. Enterprise scope and impact\n This is a Vice President-level enterprise build role spanning the full path from data foundation to production AI. The role operates with senior stakeholders across International Commercial, CIO, CMO, Legal/Compliance, Finance, markets, strategic vendors and SI partners, with accountability for technical strategy, delivery capacity, production quality, run economics and integration with Pfizer’s enterprise platform standards. Operating‑design safeguards\n Data Architect operates horizontally across the four Build sub-pillars to protect semantic standards, AI‑ready criteria and data quality. \n Solution Architect operates horizontally to ensure solutions compose the data foundation, AICL and enterprise platform spine consistently. \n AI Evaluation & Assurance remains independent of builders and owns the evidence pack for ship/no-ship decisions. \n Product & Delivery leadership manages roadmap translation, scrum/programme delivery and capacity transparency across pods. Key responsibilities & accountabilities The data foundation\n Build the trusted commercial data foundation: L1–L4 squads working to one standard (the four data layers, raw to ready‑to‑use), including reporting & BI and the knowledge & unstructured squad that underpins retrieval quality for the AI Capability Library (AICL). \n Own semantic standards, inheritance rules and AI-ready criteria through the Data Architect; run the Collibra dictionary, master & reference data operations and the governance council. \n Own data quality and observability: shift‑left checks, lineage and monitoring built in, not bolted on. \n Run data BAU — incidents, refreshes and access — baselined before any cost reduction is taken. \n Own data products and their owners (global and above‑market, including the Customer / CRM and CFC (Customer Facing Colleagues) reporting products), with business data stewards dotted in from markets and functions. \n Manage the data‑supply vendor relationships (IQVIA, Komodo, Optum, Veeva, etc): data and delivery contracts, one door to Procurement. \n Own solution architecture: how solutions compose the data, the AICL and the platform, including model‑tier selection — mirroring the Data Architect on the data side. \n Run one shared, deployable engineering pool crewed into pods; Systems Integration partners and contractors crew in—never as standing outside teams. Engineering talent is never fragmented, and capacity decisions are transparent against the agreed portfolio priority queue. \n Own product and delivery management: roadmap and translation on the way in; scrum and programme delivery on the way through. \n Build the agent library and standards; deliver the reusable data agents of the AICL and their agent‑facing data contracts. \n Run AI evaluation and assurance independently of the builders: evals, red‑team, model‑tier proof and the clearance evidence pack. \n Own AgentOps and technical run: agents and classic ML in production, AI cost operations, and solution run & support. The CIO seam\n Own platform integration and the model gateway — routing each task to the right model, including small language models (SLMs) where quality holds. \n Be the one voice to the CIO on the platform spine; land the commercial data foundation as a certified source on Loom, including the Collibra‑to‑Loom reconciliation. \n Keep what is live running well: program support, maintenance, upgrades and data quality across the estate. \n Keep AI running costs visible and managed, feeding the cost signal back to Strategy, Value & Innovation. Key relationships & interfaces Internal\n Head of Business Transformation & Technology — International Commercial Division (direct line); peer for Strategy, Value & Innovation and Adoption & Scale. \n The CIO organisation — the platform spine and its milestone plan. \n Pillar 1 — one priority queue in, engineering capacity out; pods owned by Pillar 1 product owners and crewed from this pillar. \n Pillar 3 — hand‑offs into adoption, localisation and the in‑market network for everything shipped. \n Global Commercial Analytics — data scientists, engineers and project managers crewing into pods via the operating agreement. \n Legal & Compliance — privacy engineering dotted in for consent, PII and lawful basis. External\n Data‑supply vendors (IQVIA, Komodo, Optum, Veeva) and SI partners (e.g. Accenture, Deloitte) crewing into the pool. \n Model and platform vendors through the CIO's model‑access framework. Success measures\n Prioritized use cases delivered to production with named owner, evidence pack, run model and sunset criteria. \n Data quality, lineage and observability coverage across priority data products. \n Time from funded demand to production. \n Production reliability, incident rate and support performance. \n AI evaluation coverage, red‑team completion and model-tier proof before ship. \n Cost-to-serve, model-routing savings and reuse of AICL / agent patterns across markets. \n Courage — holds one priority queue against pressure from every direction and protects data from losing attention to the agent flagship. \n Excellence — one standard across the four layers; evaluation independent of the builders; production quality as a habit. \n Equity — one deployable pool serving all markets and functions, not the best‑connected ones. \n Joy — engineers doing their best work in small, empowered pods, with agents drafting first‑pass code and people reviewing, hardening and owning. \n Decides technical architecture and standards from raw data to running agent, within the CIO platform guardrails. \n Owns delivery capacity allocation and crewing recommendations against the agreed portfolio priority queue, with escalation where demand exceeds capacity or technical risk changes sequencing. \n Owns the ship/no‑ship evidence pack through independent evaluation; Legal & Compliance clears on that evidence. \n Owns data‑supply and Systems Integrator vendor selection and contracts, with Procurement. \n Escalates to the Head of Business Transformation & Technology — International Commercial Division where priority conflicts exceed the plan of record. Qualifications\n 15+ years across data engineering and AI/ML or software delivery, with senior leadership of both data and engineering organisations — the rare end‑to‑end profile this role deliberately demands. \n A track record of building governed data platforms at enterprise scale (semantic layers, data products, quality and observability) and of shipping AI or agentic solutions into production. \n Experience running large engineering organisations (~50–100 including partners) as a flexible pool — pods, squads, deployable capacity — rather than fixed project teams. \n Vendor and SI management at scale, including data and delivery contracts. \n Prior senior leadership (Senior Director/VP level) in biopharma or another regulated data environment strongly preferred; degree in a technical discipline required, advanced degree preferred. \n Proven ability to operate as a senior enterprise leader in a complex global matrix, influencing senior business, technology, legal/compliance, medical, finance, PX and market stakeholders without relying solely on direct authority. Technical skills & knowledge\n Modern data architecture: layered data platforms (raw to ready‑to‑use), governed semantics, data contracts, catalogues (e.g. Collibra), lineage and observability. \n Agentic AI: agent platforms and registries, model gateways and model-tier selection including SLMs, evaluation and red‑teaming practice, AgentOps and production ML. \n Cloud data and analytics stacks (e.g. Snowflake) and integration with enterprise data fabrics. \n AI cost operations: metering, routing and cost-per-outcome management. \n Engineering leadership: agile delivery at scale, platform engineering, DevOps and run practices. Disability Confident\n We are proud to be a Disability Confident Employer and we encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments necessary to support your application and future career. \n Our mission is unleashing the power of our people, especially those with unique superpowers. Your journey with Pfizer starts here! \n We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this in all its forms – allowing us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees. \n #J-18808-Ljbffr

This job is with WTW, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. The Director of Engineering (also known in the industry as Chief Engineer or VP of Engineering) is the senior technical leader responsible for driving engineering strategy, execution, and culture across the ICT organisation. This role ensures that engineering teams deliver high-productivity, high-quality, scalable technically excellent solutions aligned with business goals, while fostering innovation, operational excellence, and talent development. To clarify the differentiation between the Head of Architecture and Director of Engineering roles: The Head of Architecture is responsible for the architecture of what we build - defining the architectural foundations of our solutions, making strategic technology choices, and setting the long‑term direction (typically with a 3+ year horizon). This role maintains a broad, enterprise‑wide perspective to ensure coherence and scalability across platforms. The Director of Engineering is focused on the approach we take to building - driving engineering excellence through methodologies, practices, tooling, and team capabilities. With a more immediate time horizon (1–2 years), this role concentrates on execution, delivery quality, and continuous improvement within our development teams. For both roles, the key stakeholders shall include Stack Engineering Leaders, Engineering Leaders, and Engineering Managers, although involvement with and support of others within the engineering teams as required is expected. • Responsible for the definition of and be the subject matter expert in our software development lifecycle/engineering vision and solution, realized in alignment with the Head of Technical Strategy & Enablement, the Head of Architecture and Stack Engineering Leaders, • Support the Head of Technology Delivery & Strategy with executive leadership to shape technology budget recommendations, prioritization, and long‑term planning, • Support Stack Engineering Leaders by translating strategic goals into scalable engineering solutions and associated delivery plans, • Oversee detailed and complex system architecture, technical standards, and platform evolution choices associated with lifecycle tooling and work with the Head of Architecture & Stack Engineering Leaders in support of enterprise architecture, • Assure technical quality, security, and performance across all products and services, • Be the go‑to person for our most complex technical challenges, • Stay ahead of emerging technologies and assess their relevance as it relates to the role, • Working with Stack Engineering Leads provide the best‑practices measures & expectations/guidance for high‑performing engineering teams, including supporting hiring, mentoring, and career development, • Foster a culture of ownership, collaboration, and continuous improvement, • Promote diversity, equity, and inclusion within engineering and across the organization, • Responsible for engineering KPIs used such as velocity, quality, uptime, and cost efficiency as part of a broader, ICT Measurement Framework and in conjunction with the Stack Engineering Leaders & Engineering Leadership/Management, • Drive efficiency, productivity, process optimization, tooling improvements, and delivery predictability, in conjunction with the Stack Engineering Leaders & Engineering Leadership/Management, • Work closely with Product, Design, Architecture, Security, and Infrastructure teams to align on priorities and execution, • Work closely with Key Stakeholders including Stack Engineering Leaders, Head of Architecture and Service Operations, • Represent engineering in key external and wider WTW forums, meetings, and strategic planning sessions, • Act as a key stakeholder in vendor selection, partnerships, and technology evaluations, • Improvement in delivery productivity and quality evidenced through the introduction of project methodology changes and robust engineering metrics such as project velocity, cycle time (idea to deployment), deployment frequency, • Reduction in technical debt, improved system reliability, • Creativity & adoption of new technologies and techniques evidenced through PoC’s, new tech. initiatives, or changes that deliver a measurable impact, • Encouragement of cross‑stack collaboration & alignment, improved engagement, and technical maturity, • Increase in technical skills & knowledge through the support provided as a subject matter expert, • Solid experience in engineering roles, covering all stages of the lifecycle, • Proven track record delivering complex, large‑scale solutions that involved cross‑enterprise architectural & technical decision making, • Broad expertise in a variety of different technologies (e.g. Cloud) and methodologies e.g. DevOps, Agile, SDLC), best practices, and data‑driven decision making, • Proven problem solver, with a critical‑thinking systems‑oriented mindset, • Strong stakeholder management, Influencing and executive‑level communication skills, • Previously been Chief Engineering/VP Engineering for an ICT sized Enterprise, • Comfortable in working in areas of high-demand, high-complexity and decision making, • Expertise in engineering across all disciplines (application, data, infrastructure), architecture & design, technical solutions design and delivery, strategic planning, and change management, • Hands‑on experience with modern technologies & techniques, • Collaborative leadership style, able to inspire and develop high‑performing teams, • Comfortable navigating large organizations to execute delivery, • General knowledge of the Insurance Industry, • Degree‑educated with Computer Science, Engineering, Mathematics or relevant discipline Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle‑to‑work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidatehelpdesk@wtwco.com. #J-18808-Ljbffr

We’re in relentless pursuit of breakthroughs that change patients’ lives. We innovate every day to make the world a healthier place. To fully realize Pfizer’s purpose – Breakthroughs that change patients’ lives – we have established a clear set of expectations regarding “what” we need to achieve for patients and “how” we will go about achieving those goals. Pfizer offers competitive compensation and benefits programs designed to meet the diverse needs of our colleagues. The VP, Build — Data, Engineering & AI is the owner of the International Commercial build engine, accountable for turning prioritized demand into trusted, reusable and production-grade data, AI agents, solutions and technical services. The role owns the International commercial data foundation, engineering pool, solution architecture, AI evaluation, AgentOps, production run, technical standards, vendor/Systems Integrator delivery model and CIO-platform integration. Its mandate is to deliver speed without fragmentation, reuse without bureaucracy, and innovation with evidence, reliability, compliance and cost discipline. This is a Vice President-level enterprise build role spanning the full path from data foundation to production AI. The role operates with senior stakeholders across International Commercial, CIO, CMO, Legal/Compliance, Finance, markets, strategic vendors and SI partners, with accountability for technical strategy, delivery capacity, production quality, run economics and integration with Pfizer’s enterprise platform standards. Data Architect operates horizontally across the four Build sub-pillars to protect semantic standards, AI‑ready criteria and data quality. Solution Architect operates horizontally to ensure solutions compose the data foundation, AICL and enterprise platform spine consistently. AI Evaluation & Assurance remains independent of builders and owns the evidence pack for ship/no-ship decisions. Product & Delivery leadership manages roadmap translation, scrum/programme delivery and capacity transparency across pods. Build the trusted commercial data foundation: L1–L4 squads working to one standard (the four data layers, raw to ready‑to‑use), including reporting & BI and the knowledge & unstructured squad that underpins retrieval quality for the AI Capability Library (AICL). Own semantic standards, inheritance rules and AI-ready criteria through the Data Architect; run the Collibra dictionary, master & reference data operations and the governance council. Own data quality and observability: shift‑left checks, lineage and monitoring built in, not bolted on. Run data BAU — incidents, refreshes and access — baselined before any cost reduction is taken. Own data products and their owners (global and above‑market, including the Customer / CRM and CFC (Customer Facing Colleagues) reporting products), with business data stewards dotted in from markets and functions. Manage the data‑supply vendor relationships (IQVIA, Komodo, Optum, Veeva, etc): data and delivery contracts, one door to Procurement. Own solution architecture: how solutions compose the data, the AICL and the platform, including model‑tier selection — mirroring the Data Architect on the data side. Run one shared, deployable engineering pool crewed into pods; Systems Integration partners and contractors crew in—never as standing outside teams. Engineering talent is never fragmented, and capacity decisions are transparent against the agreed portfolio priority queue. Own product and delivery management: roadmap and translation on the way in; scrum and programme delivery on the way through. Build the agent library and standards; deliver the reusable data agents of the AICL and their agent‑facing data contracts. Run AI evaluation and assurance independently of the builders: evals, red‑team, model‑tier proof and the clearance evidence pack. Own AgentOps and technical run: agents and classic ML in production, AI cost operations, and solution run & support. Own platform integration and the model gateway — routing each task to the right model, including small language models (SLMs) where quality holds. Be the one voice to the CIO on the platform spine; land the commercial data foundation as a certified source on Loom, including the Collibra‑to‑Loom reconciliation. Keep what is live running well: program support, maintenance, upgrades and data quality across the estate. Keep AI running costs visible and managed, feeding the cost signal back to Strategy, Value & Innovation. Head of Business Transformation & Technology — International Commercial Division (direct line); peer for Strategy, Value & Innovation and Adoption & Scale. The CIO organisation — the platform spine and its milestone plan. Pillar 1 — one priority queue in, engineering capacity out; pods owned by Pillar 1 product owners and crewed from this pillar. Pillar 3 — hand‑offs into adoption, localisation and the in‑market network for everything shipped. Global Commercial Analytics — data scientists, engineers and project managers crewing into pods via the operating agreement. Legal & Compliance — privacy engineering dotted in for consent, PII and lawful basis. Data‑supply vendors (IQVIA, Komodo, Optum, Veeva) and SI partners (e.g. Accenture, Deloitte) crewing into the pool. Model and platform vendors through the CIO's model‑access framework. Prioritized use cases delivered to production with named owner, evidence pack, run model and sunset criteria. Data quality, lineage and observability coverage across priority data products. Time from funded demand to production. Production reliability, incident rate and support performance. AI evaluation coverage, red‑team completion and model-tier proof before ship. Cost-to-serve, model-routing savings and reuse of AICL / agent patterns across markets. Courage — holds one priority queue against pressure from every direction and protects data from losing attention to the agent flagship. Excellence — one standard across the four layers; evaluation independent of the builders; production quality as a habit. Equity — one deployable pool serving all markets and functions, not the best‑connected ones. Joy — engineers doing their best work in small, empowered pods, with agents drafting first‑pass code and people reviewing, hardening and owning. Decides technical architecture and standards from raw data to running agent, within the CIO platform guardrails. Owns delivery capacity allocation and crewing recommendations against the agreed portfolio priority queue, with escalation where demand exceeds capacity or technical risk changes sequencing. Owns the ship/no‑ship evidence pack through independent evaluation; Legal & Compliance clears on that evidence. Owns data‑supply and Systems Integrator vendor selection and contracts, with Procurement. Escalates to the Head of Business Transformation & Technology — International Commercial Division where priority conflicts exceed the plan of record. 15+ years across data engineering and AI/ML or software delivery, with senior leadership of both data and engineering organisations — the rare end‑to‑end profile this role deliberately demands. A track record of building governed data platforms at enterprise scale (semantic layers, data products, quality and observability) and of shipping AI or agentic solutions into production. Experience running large engineering organisations (~50–100 including partners) as a flexible pool — pods, squads, deployable capacity — rather than fixed project teams. Vendor and SI management at scale, including data and delivery contracts. Prior senior leadership (Senior Director/VP level) in biopharma or another regulated data environment strongly preferred; degree in a technical discipline required, advanced degree preferred. Proven ability to operate as a senior enterprise leader in a complex global matrix, influencing senior business, technology, legal/compliance, medical, finance, PX and market stakeholders without relying solely on direct authority. Modern data architecture: layered data platforms (raw to ready‑to‑use), governed semantics, data contracts, catalogues (e.g. Collibra), lineage and observability. Agentic AI: agent platforms and registries, model gateways and model-tier selection including SLMs, evaluation and red‑teaming practice, AgentOps and production ML. Cloud data and analytics stacks (e.g. Snowflake) and integration with enterprise data fabrics. AI cost operations: metering, routing and cost-per-outcome management. Engineering leadership: agile delivery at scale, platform engineering, DevOps and run practices. We are proud to be a Disability Confident Employer and we encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments necessary to support your application and future career. Our mission is unleashing the power of our people, especially those with unique superpowers. Your journey with Pfizer starts here! We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this in all its forms – allowing us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees. #J-18808-Ljbffr

Are you an engineering leader who enjoys shaping how engineering teams deliver rather than simply what they deliver? This is an opportunity to join a global technology organisation in a highly influential leadership role, driving engineering excellence across multiple development teams. As Director of Engineering you'll define and champion the software engineering vision, embedding modern development practices, improving delivery quality and helping engineering teams build faster, more reliably and at greater scale. Collaborating with senior technology leaders, you'll translate strategic objectives into practical engineering initiatives, establishing best practices across the software development lifecycle while influencing the future direction of engineering across the business. You'll champion modern engineering approaches including cloud-native architecture, DevOps, CI/CD, Infrastructure as Code, automated testing, AI assisted development and developer productivity tooling. You'll help solve the organisation's most complex technical challenges, evolve engineering standards and ensure products remain secure, scalable and resilient. Alongside technical leadership, you'll play a key role in developing engineering capability, partnering with Engineering Managers and Technical Leaders to build high performing teams, mentor future leaders and foster a culture of ownership, collaboration and continuous improvement. You'll also drive engineering performance through meaningful metrics, improving delivery predictability, software quality, operational efficiency and technical maturity while reducing technical debt and enabling teams to deliver value at pace. There's a flexible work from home hybrid model, you'll join colleagues in the Reigate office twice a week for team meet-ups and stakeholder meetings with the other three days work from home. • You have extensive engineering leadership experience delivering complex, enterprise-scale technology platforms across the full software development lifecycle, • You have expertise with modern engineering practices including cloud, DevOps, Agile, CI/CD, architecture, platform engineering and engineering excellence, • You have strong technical background with the ability to influence architecture, solve complex technical challenges and make strategic technology decisions, • You have experience of leading high performing engineering organisations, driving continuous improvement, technical quality and delivery at scale, • You have advanced stakeholder management and executive communication skills, with the ability to influence across engineering, product and senior leadership, • You're a commercially minded leader who can balance technical innovation, operational excellence and business priorities in complex enterprise environments, • You're a collaborative, people first leadership style with a passion for mentoring engineers, developing capability and fostering a culture of ownership and continuous learning, • You're comfortable in fast paced, high complexity organisations, using data and engineering metrics to improve productivity, quality and delivery outcomes As a Director of Engineering you will receive a competitive salary plus a range of perks and benefits: • Up to £250k salary + plus significant bonus, • Hybrid working (3 days a week work from home), • Enhanced parental leave, • 25 days holiday (plus buy days and your birthday off), • Pension, Health Care and Life Assurance, • Training and career development, • Social events and a range of other perks Apply now to find out more about this Director of Engineering (SaaS Azure) opportunity. #J-18808-Ljbffr

Vice President, Build — Data, Engineering & AI跳至主要内容#Vice President, Build — Data, Engineering & AI page is loaded## Vice President, Build — Data, Engineering & AI申请locations: United Kingdom - Walton Oaks: Europe - Any Pfizer Sitetime type: 全职posted on: 今天发布job requisition id: 4960896Role purposeThe VP, Build — Data, Engineering & AI is the owner of the International Commercial build engine, accountable for turning prioritized demand into trusted, reusable and production-grade data, AI agents, solutions and technical services. The role owns the International commercial data foundation, engineering pool, solution architecture, AI evaluation, AgentOps, production run, technical standards, vendor/Systems Integrator delivery model and CIO-platform integration. Its mandate is to deliver speed without fragmentation, reuse without bureaucracy, and innovation with evidence, reliability, compliance and cost discipline.Enterprise scope and impactThis is a Vice President-level enterprise build role spanning the full path from data foundation to production AI. The role operates with senior stakeholders across International Commercial, CIO, CMO, Legal/Compliance, Finance, markets, strategic vendors and SI partners, with accountability for technical strategy, delivery capacity, production quality, run economics and integration with Pfizer’s enterprise platform standards.Operating-design safeguardsData Architect operates horizontally across the four Build sub-pillars to protect semantic standards, AI-ready criteria and data quality.Solution Architect operates horizontally to ensure solutions compose the data foundation, AICL and enterprise platform spine consistently.AI Evaluation & Assurance remains independent of builders and owns the evidence pack for ship/no-ship decisions.Product & Delivery leadership manages roadmap translation, scrum/programme delivery and capacity transparency across pods.Key responsibilities & accountabilitiesThe data foundationBuild the trusted commercial data foundation: L1–L4 squads working to one standard (the four data layers, raw to ready-to-use), including reporting & BI and the knowledge & unstructured squad that underpins retrieval quality for the AI Capability Library (AICL).Own semantic standards, inheritance rules and AI-ready criteria through the Data Architect; run the Collibra dictionary, master & reference data operations and the governance council.Own data quality and observability: shift-left checks, lineage and monitoring built in, not bolted on.Run data BAU — incidents, refreshes and access — baselined before any cost reduction is taken.Own data products and their owners (global and above-market, including the Customer / CRM and CFC (Customer Facing Colleagues) reporting products), with business data stewards dotted in from markets and functions.Manage the data-supply vendor relationships (IQVIA, Komodo, Optum, Veeva, etc..): data and delivery contracts, one door to Procurement.Engineering & AIOwn solution architecture: how solutions compose the data, the AICL and the platform, including model-tier selection — mirroring the Data Architect on the data side.Run one shared, deployable engineering pool crewed into pods; Systems Integration partners and contractors crew in — never as standing outside teams. Engineering talent is never fragmented, and capacity decisions are transparent against the agreed portfolio priority queue.Own product and delivery management: roadmap and translation on the way in; scrum and programme delivery on the way through.Build the agent library and standards; deliver the reusable data agents of the AICL and their agent-facing data contracts.Run AI evaluation and assurance independently of the builders: evals, red teaming, model-tier proof and the clearance evidence pack.Own AgentOps and technical run: agents and classic ML in production, AI cost operations, and solution run & support.The CIO seamOwn platform integration and the model gateway — routing each task to the right model, including small language models (SLMs) where quality holds.Be the one voice to the CIO on the platform spine; land the commercial data foundation as a certified source on Loom, including the Collibra-to-Loom reconciliation.Run & BAUKeep what is live running well: program support, maintenance, upgrades and data quality across the estate.Keep AI running costs visible and managed, feeding the cost signal back to Strategy, Value & Innovation.Key relationships & interfacesInternalHead of Business Transformation & Technology — International Commercial Division (direct line); peer for Strategy, Value & Innovation and Adoption & Scale.The CIO organisation — the platform spine and its milestone plan.Pillar 1 — one priority queue in, engineering capacity out; pods owned by Pillar 1 product owners and crewed from this pillar.Pillar 3 — hand-offs into adoption, localisation and the in-market network for everything shipped.Global Commercial Analytics — data scientists, engineers and project managers crewing into pods via the operating agreement.Legal & Compliance — privacy engineering dotted in for consent, PII and lawful basis.ExternalData-supply vendors (IQVIA, Komodo, Optum, Veeva) and SI partners (e.g. Accenture, Deloitte) crewing into the pool.Model and platform vendors through the CIO's model-access framework.Success measuresPrioritized use cases delivered to production with named owner, evidence pack, run model and sunset criteria.Data quality, lineage and observability coverage across priority data products.Time from funded demand to production.Production reliability, incident rate and support performance.AI evaluation coverage, red-team completion and model-tier proof before ship.Cost-to-serve, model-routing savings and reuse of AICL / agent patterns across markets.Leadership behaviours (Pfizer values)Courage — holds one priority queue against pressure from every direction and protects data from losing attention to the agent flagship.Excellence — one standard across the four layers; evaluation independent of the builders; production quality as a habit.Equity — one deployable pool serving all markets and functions, not the best-connected ones.Joy — engineers doing their best work in small, empowered pods, with agents drafting first-pass code and people reviewing, hardening and owning.Scope & decision rightsDecides technical architecture and standards from raw data to running agent, within the CIO platform guardrails.Owns delivery capacity allocation and crewing recommendations against the agreed portfolio priority queue, with escalation where demand exceeds capacity or technical risk changes sequencing.Owns the ship/no-ship evidence pack through independent evaluation; Legal & Compliance clears on that evidence.Owns data-supply and Systems Integrator vendor selection and contracts, with Procurement.Escalates to the Head of Business Transformation & Technology — International Commercial Division where priority conflicts exceed the plan of record.Experience & qualifications15+ years across data engineering and AI/ML or software delivery, with senior leadership of both data and engineering organisations — the rare end-to-end profile this role deliberately demands.A track record of building governed data platforms at enterprise scale (semantic layers, data products, quality and observability) and of shipping AI or agentic solutions into production.Experience running large engineering organisations (~50–100 including partners) as a flexible pool — pods, squads, deployable capacity — rather than fixed project teams.Vendor and SI management at scale, including data and delivery contracts.Prior senior leadership (Senior Director / VP level) in biopharma or another regulated data environment strongly preferred; degree in a technical discipline required, advanced degree preferred.Proven ability to operate as a senior enterprise leader in a complex global matrix, influencing senior business, technology, legal/compliance, medical, finance, PX and market stakeholders without relying solely on direct authority.Technical skills & knowledgeModern data architecture: layered data platforms (raw to ready-to-use), governed semantics, data contracts, catalogues (e.g. Collibra), lineage and observability.Agentic AI: agent platforms and registries, model gateways and model-tier selection including SLMs, evaluation and red-teaming practice, AgentOps and production ML.Cloud data and analytics stacks (e.g. Snowflake) and integration with enterprise data fabrics.AI cost operations: metering, routing and cost-per-outcome management.Engineering leadership: agile delivery at scale, platform engineering, DevOps and run practices.Purpose Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives. Digital Transformation StrategyOne bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.Flexibility We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation! Equal Employment Opportunity We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.DisAbility ConfidentWe are proud to be a Disability Confident Employer and we encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments necessary to support your application and future career. Our mission is unleashing the power of our people, especially those with unique superpowers. Your journey with Pfizer starts here!To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers. #J-18808-Ljbffr

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Take day-to-day responsibility for the management and delivery of the DadVocates project across all strands of activity.

Office-based with drop-ins in local vanues in Lancaster and Morecambe.Monday to Friday with occasional out-of-hours work where needed, with Time Off In Lieu (TOIL).Closing date for applications: Tuesday 11th August at 23:59 BST.This is a varied role leading a small but impactful charity.As our Opera

Manage a fleet of 80 vehicles, including compliance, renewals and line management of the Fleet Administrator. IT Management experience in a similar roles within charity, education or the public sector. Lead IT operations alongside the external MSP, including service levels, escalations and performan

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Excellent project management and stakeholder management skills. A strong understanding of building defects, asset management and building safety.

It's about increasing productivity and improving performance; it's about happy motivated people and inspiring environments. Strong commercial acumen with a solid understanding of P&L management, budgeting, forecasting, and labour control. Excellent client relationship and stakeholder management skil

Excellent project management and stakeholder management skills. A strong understanding of building defects, asset management and building safety.

It's about increasing productivity and improving performance; it's about happy motivated people and inspiring environments. Strong commercial acumen with a solid understanding of P&L management, budgeting, forecasting, and labour control. Excellent client relationship and stakeholder management skil

Good time-management and navigation skills.

People & Culture leader, partnering with Directors of Operations and the Regional People Operations Director (APAC, India & EMEA) to deliver high quality, compliant and commercially focused people solutions across multiple sites. Partner with Directors of Operations to align people strategy with bus

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Previous management experience in a customer-facing retail, financial, or postal environment.

This influential position provides project management and operational transformation support to our business, working closely with various departments to enhance operational effectiveness, strengthen governance, and drive successful business change. The role demands a strong understanding of project

People & Culture leader, partnering with Directors of Operations and the Regional People Operations Director (APAC, India & EMEA) to deliver high quality, compliant and commercially focused people solutions across multiple sites. Partner with Directors of Operations to align people strategy with bus

You will have experience working within a leisure environment and already have management experience.

They will be in a senior management role supporting the General Manager in all aspects of the business.

Earn £14 - £19 per hour.Deliver a local round on agreed days and take control of your earning opportunity.Evri delivers over a billion parcels a year through a network of more than 30,000 couriers.We’re recruiting self-employed delivery drivers in your area now.We have opportunitie

If you are already an experienced project management professional, this programme may not be suitable, as we primarily focus on entry-level roles. Average Salaries in the Project Management Sector:. Why Choose Our Project Management Training?.

Earn £14 - £19 per hour.Deliver a local round on agreed days and take control of your earning opportunity.Evri delivers over a billion parcels a year through a network of more than 30,000 couriers.We’re recruiting self-employed delivery drivers in your area now.We have opportunitie

Job Title: HVAC Project Manager Location: Covering North of M25 up to Sheffield Salary: £55,000-£65,000 per annum Contract: Permanent Overview: We are seeking an experienced HVAC Project Manager to oversee the delivery of commercial and industrial air conditioning projects across the No

Full Time | Office Based | Competitive Salary + Benefits.WGM is looking for an experienced (.Projects team, delivering complex projects safely, on time and within budget.This is an excellent opportunity for a project professional with experience within construction, utilities, water, civil engineeri

Procurement, phasing, cost management, and governance reporting.

Programme Management, plan, sequence and manage multiple live projects, driving productivity and meeting milestones.

Delivering a busy calendar of corporate conferences, exhibitions, product launches, and business events, this is a fantastic opportunity for an operationally focused hospitality professional who enjoys making sure every detail is in place behind the scenes.

Supporting incident, problem, and change management within an ITIL framework.

Reporting directly to the senior leadership team, you will be responsible for the overall management of warehouse operations while also taking ownership of Health & Safety, facilities management, and operational compliance.

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Electrical Project Manager Data Centre Upgrades & Refurbishments.Following 12 months of continuous employment, you are entitled to become a beneficiary of the Employee-Owned Trust (EOT) scheme.Length of Service reward scheme.The client is a well-established turnkey Principal Building Services & Eng

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Head of Solar Operations / Operations Manager Build a Renewable Energy Business from the Ground Up Location: North West (Flexible) Salary: Excellent Executive Package + Bonus + Long-Term Career Opportunity The Opportunity This is not just another Operations Manager position.Our client is invest

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Hotel Operations Manager - Surrey near Guildford.Set in a Historical location with amazing commuter links, this beautiful property offering elegantly appointed rooms, stunning contemporary food and a strong business mix offering is now looking to further grow and develop its offering with the appoin

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You will be: Leading the day-to-day management of the nursery, ensuring high standards of care, education, and safeguarding Supporting the overall operation of the children's play café and play centre alongside the business owner * Managing, mentoring, and d