1. Role Summary
The Manager is the delivery owner within Technology Adoption, Engagement & Transformation, with a primary focus on Experience & Workflow Design and governance readiness and clearance coordination, and may be deployed into a cross-functional CEI POD based on portfolio priorities.
The role converts adoption and portfolio direction into executable experience, workflow, service-integration and compliance activities with clear documentation and measurable outcomes.
2. Key Accountabilities
- Manage day-to-day delivery for assigned experience, workflow, adoption, technical portfolio or governance outcomes.
- Plan and assure execution of Experience & Workflow Design — UX/CX, customer and colleague journeys, agent hand-offs and rapid adaptation of tools and workflows for each Business Unit.
- Plan and assure execution of governance readiness and clearance coordination — preparing evidence, orchestrating lifecycle stage gates, tracking decisions and serving as the D&T liaison for Legal, Privacy, Risk, Compliance and Security stakeholders, while approval authority remains with the relevant governance functions.
- Plan and assure execution of Technology Engagement & Adoption — the Business Unit technology interface for legacy and AI-enabled products, market signals into intake and POD formation, platform usage telemetry, an integrated service catalogue and cross-team service coordination.
- Plan and assure execution of Technology Product & Service Lifecycle for existing systems and established AI products, applying reuse-before-build and operate, modernize, industrialize or retire decisions, aligned with AITO and CEI portfolio direction.
- Maintain clear scope, milestones, risks, dependencies, user insights, telemetry, documentation and transition plans.
- Coordinate Business Units, GTMx, GCA, CMO, PIC, POD members and peer D&T teams to minimize handoffs and sustain adoption.
3. Required Capabilities & Competencies
- Technology engagement and adoption; business transformation; technology product and portfolio lifecycle; technology scouting.
- Experience and workflow design; UX/CX; journey design; agent hand-offs; adoption telemetry and service integration.
- Governance readiness and clearance coordination across legal, privacy, risk, compliance and security stage gates; stakeholder influence; POD collaboration and value realization.
- Outcome ownership: connects decisions to measurable business, user, service and transformation outcomes.
- AI-first and enterprise-minded: applies responsible AI, reuse, architecture, security, privacy and scale principles appropriate to the work.
- POD collaboration: enables clear accountability, effective cross-functional execution and minimal handoff friction across Business Units, GTMx, AITO, GCA, CMO, PIC and peer D&T capabilities.
- Precision and learning: communicates clearly, documents decisions, uses evidence and telemetry and continuously improves delivery.
- Bachelor’s degree or above, preferably in Computer Science, Information Technology, Engineering, Design or Management.
- 8+ years of progressive relevant experience based on a bachelor’s degree, where a master’s or doctoral degree may reduce the years required, including 3+ years in the pharmaceutical or healthcare industry, with scope and judgment consistent with this role.
- Agile delivery, product metrics, adoption measurement and evidence-based iteration. Agile and product certifications are preferred (e.g. CSPO / PSPO, CSM / PSM, and SAFe POPM or SAFe Agilist for scaled-agile environments).
- Demonstrated ability to work across business, product, technology, data and governance stakeholders in a matrixed environment.
- Experience of the China commercial, technology, data or vendor environment is preferred.
4. Key Collaboration
coordinates governance readiness and clearance with Legal, Privacy, Risk, Compliance and Security, which retain the relevant approval authority.
5. Measures of Success
- Timely, high-quality delivery against agreed transformation, adoption, technical portfolio, experience and governance outcomes.
- Higher adoption and measurable value from legacy and AI-enabled products, with effective POD contribution and sustained ownership.
- Better use of telemetry and user insight to improve products, workflows and service integration.
- Timely, evidence-based governance readiness and clearance coordination, with transparent risks, decisions, dependencies and accountable approval owners.
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
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.
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