Senior Director, R&D FIT Domain Lead (Secondment 12 Months)

WHY PATIENTS NEED YOU

You will own the endtoend digital and AI portfolio for Pfizers Business Innovation team; in this role you will serve as a primary Digital & Technology partner to the domains senior leadership team. This role reports to the Vice President R&D Forward Impact Engineering & Engagement Team within Pfizers Digital and Technology division.

WHAT YOU WILL ACHIEVE

Operating at two critical altitudes you will:

Strategic Thinking & Innovation

Shape a bold multiyear digital and AI vision; align investments to enterprise priorities and Bold Moves; and introduce new digitally enabled business models that transform R&D operations and outcomes.

SpeedtoValue through MVPFirst Experimentation

Drive rapid prototyping and iterative delivery to validate hypotheses quickly capture insights and scale successful solutions into resilient compliant and costeffective enterprise capabilities.

You will also lead the cultural change to product thinkingmoving the organization from project delivery to a usercentric valuedriven product modeland run portfolio governance demand management and budget planning across your domain.

HOW YOU WILL ACHIEVE IT

Strategic Thinking & Innovation (Altitude #1)

• Develop and communicate a multiyear vision and strategy for the R&D digital and AI portfolio aligned to enterprise priorities and measurable business outcomes.

• Establish portfolio governance with clear OKRs outcome targets and ROI/TCO measures; manage P&L across the product suite.

• Continuously scan market technology and regulatory trends to surface highimpact opportunities (AI/ML data platforms workflow automation) and inform roadmaps.

• Shape digitally enabled business models and operating mechanisms that reduce cycle time increase quality and improve risk posture across R&D.

SpeedtoValue via MVPFirst (Altitude #2)

• Lead a rapid prototyping / MVPfirst approach with disciplined guardrails (hypotheses success criteria risk & compliance checks) to accelerate timetovalue.

• Ensure MVPs are usercentric datadriven and extensible; guide the transition of validated MVPs to productiongrade products (performance reliability security observability scalability).

• Apply dualtrack agile (discovery delivery) with short cycles fast feedback loops and continuous improvement.

Product Thinking Cultural Change

• Act as a change agentembed product thinking and shift from project execution to valuedriven usercentric product operating rhythms (e.g. DSU BLP QBR).

• Coach leaders and teams on hypothesisdriven discovery prioritization by value iterative delivery and product telemetry.

• Create playbooks forums and storytelling practices that normalize experimentation measurable outcomes and learning.

Portfolio Governance Demand & Budget Management

• Lead demand intake and prioritization across R&D in partnership with stakeholders; ensure transparent communication of priorities and tradeoffs.

• Prepare and manage the annual Digital budget for the R&D portfolio with input from Architecture Engineering Data/AI Security/Compliance and Product Operations.

• Balance investments across experiments MVPs scaleups core products and platforms optimizing for ROI risk and lifecycle health.

Lifecycle Platforms & Scaled Delivery

• Build and maintain R&D roadmaps and release plans; report quarterly on outcomes adoption financials and risk.

• Connect horizontal platforms (identity workflow data/analytics AI foundation models MLOps) to deliver a holistic enduser experience and reduce duplicate spend.

• Champion agile/lean at scale reusability observability DevSecOps/SRE and support models aligned to product criticality.

AI Data & Compliance Leadership

• Implement responsible AI (bias testing explainability humanintheloop model monitoring) and ensure adherence to GxP privacy security and model risk management.

• Promote data product practices (FAIR principles lineage data quality SLAs feature stores) that underpin reliable AI/ML outcomes.

• Partner with Architecture Security and Compliance to maintain audit readiness and alignment to enterprise architecture patterns.

Stakeholder Engagement & Communication

• Build trusted relationships across R&D; cocreate strategies and operating mechanisms; ensure transparent tradeoff decisions and value tracking.

• Use compelling storytelling and product telemetry to align stakeholders; drive adoption and change management to maximize value realization.

• Actively share knowledge and contribute to the Product Community of Practice; codify best practices and case studies.

People & Culture Leadership

• Lead coach and grow Directors/Sr. Managers Group PMs and PMs; build a strong product craft (discovery prioritization storytelling outcome focus).

• Recruit and develop diverse talent; create a culture of speed innovation accountability and continuous improvement.

• Hold leaders accountable for talent development inclusivity and succession planning.

What Success Looks Like (1218 Months)

• A funded multiyear roadmap for R&D with clear OKRs value targets and portfolio visibility (ROI/TCO adoption reliability compliance).

• A healthy MVPtoscale pipeline delivering measurable outcomes (e.g. cycletime reduction cost avoidance quality improvements risk reduction).

• Adoption & satisfaction goals achieved across key user groups; responsible AI controls embedded and auditready posture sustained.

• A visible shift to product thinkinggovernance funding incentives and delivery models aligned to product principles with predictable execution.

• Demonstrable platform leverage across R&D reducing redundancy and increasing speed to value.

QUALIFICATIONS

Must-Have

• BA/BS with 12 years of experience in Computer Science Engineering Business or related field.

• Experience in product management and strategy including 8 years leading product leaders (Directors/GPMs/PMs) for complex technologyoriented portfolios.

• Proven P&L ownership and portfolio governance experience; success scaling AI/datadriven products from MVP to production in regulated environments.

• Deep expertise in agile/lean OKRs value measurement and change leadership for product operating models.

• Strong executive communication and the ability to influence crossfunctional leaders (engineering architecture data/AI security compliance operations).

Nice-to-Have

• MBA/MS with 10 years of experience in strategy management data/AI or related field; OR PhD or JD with 7 years of experience.

• Experience working in Agile/Scrum/Scaled Agile Product Management (AIPMM/Pragmatic) Cloud/AI (Azure/AWS/GCP ML).

• Experience across R&D (e.g. discovery development regulatory safety) with familiarity in GxP HIPAA/GDPR model risk management.

• Experience with design thinking prototyping tools (e.g. Figma) experimentation/analytics platforms and product telemetry.

• Background in MLOps/DevSecOps/SRE data product patterns (FAIR) and enterprise platform integration.

Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers develop and coach others oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.

OTHER JOB DETAILS

• Last Date to Apply for Job:January 19 2026

• Additional Location Information: Switzerland - Zug

• Eligible for Relocation Package NO

• Secondment 12 months

• If you are currently in a driving position with a fleet vehicle and this secondment does not require driving as an essential function of the position for12 months or longer you will be required to turn in your fleet vehicle for the duration of the non-driving secondment. Please refer to the Fleet Policy and Procedures document for more information.

• There will be no change to your current work location.

• Position is considered Flexible and colleagues are expected to comply with Log In For Your Day(LIFYD) requirements at site location (e.g. about 2.5 days a week in office).

Relocation assistance may be available based on business needs and/or eligibility.