Senior Manager, Digital Product Manager - AI, Data Analytics & Reporting

About the role

Pfizer is looking for a Senior Manager, Digital Product Manager for its AI, Data Analytics & Reporting product area. You will lead the strategy, development and adoption of data and digital platforms that support GCS operations, improving operational efficiency, decision-making and the speed of supply to sites. The role leads a matrixed, cross-functional product team of software, data and infrastructure engineers, designers and user supporters, and works in a hybrid setting.

Key responsibilities

• Define and drive the vision, strategy and roadmap for the AI, Data Analytics & Reporting product area, acting as the main link between GCS and Digital stakeholders and technical teams.
• Define and maintain the product release calendar and own the end-to-end lifecycle of GCS digital products, from ideation and design to delivery and continuous improvement.
• Establish and track KPIs and OKRs to measure product success, user adoption and business impact.
• Lead product meetings and stakeholder engagements, and define, own and prioritize the product backlog aligned with business strategy, customer needs, regulatory requirements and organizational objectives.
• Promote user-centered design and collaboration with engineering, data and platform teams to deliver timely, high-quality products.
• Evaluate feature releases and experimentation results, evangelize the products, give demos and prove their impact on Pfizer and its patients.

Required profile

• Bachelor's degree in a relevant discipline (Computer Science, Data Science, Engineering, Information Systems, Business or related) and 7+ years of relevant experience in data, analytics, engineering, digital delivery or product management.
• 5+ years of hands-on product management or product ownership for digital, data or AI products.
• Strong product management and business analysis skills, including analysis of customer journeys, user behavior and digital analytics.
• Hands-on experience in agile teams and processes, and experience translating business requirements into backlogs, user stories and acceptance criteria.
• Experience in data science, machine learning and AI.
• Fluent communication skills and fluency with modern AI tools, enough to build POCs, mockups or preliminary wireframes independently.

Preferred qualifications

• Advanced degree in computer science, data science, logistics or another business-related discipline.
• Agile and Scrum certification.
• Experience managing delivery through external vendor or contractor teams.
• Demonstrated leadership and stakeholder influence.
• Experience with generative and agentic AI solutions, computer systems validation and GxP-compliant solutions.

Candidates apply by sending their CV in English; the work location is hybrid.