AI Product Sr. Manager

1. Role Summary

The AI Product Sr. Manager owns what and why of AI solutions — turning prioritized AI opportunities into clear product vision, backlog and success criteria that deliver measurable user and business value. The role represents the user and the business inside the acceleration engine, working closely with Forward Deployment Engineers to move ideas from opportunity framing to proof of concept and validated minimum viable products.

The AI Product Sr. Manager defines problems worth solving, prioritizes ruthlessly against value, and ensures every AI product is desirable, usable and adopted — then supports a clean transition to Digital & Technology (D&T) and Pfizer Innovation Center (PIC) for scale and sustainable ownership.

2. Key Accountabilities

• Own the product vision, scope and roadmap for assigned AI products, grounded in user needs and prioritized business value.

• Build and manage the product backlog, writing clear problem statements, user stories and MVP success criteria.

• Prioritize ruthlessly against value, feasibility and desirability, deciding what enters each building cycle.

• Partner daily with Forward Deployment Engineers to shape solutions, clarify requirements and accept completed work.

• Lead discovery with users and stakeholders — interviews, journey mapping and validation of desirability and usability.

• Define and track product metrics and adoption, using evidence to iterate or to inform scale or stop decisions.

• Support the acceleration-to-scale handover with D&T and PIC, ensuring validated products have clear ownership and adoption plans.

• Partner with the AIT Value & Performance Lead to connect product decisions to business cases and benefit tracking.

3. Required Capabilities & Competencies

(a) Critical Capabilities & Qualifications

• Product ownership and management: product vision, backlog, user stories, MVP definition and value-based prioritization.

• Discovery and user research: problem framing, journey mapping, desirability and usability validation.

• Working understanding of AI and agentic solutions sufficient to shape scope, feasibility and value with engineers.

• 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).

• Bachelor’s degree or above in Business, Design, Computer Science, Engineering or a related discipline.

• 8+ years of total experience, 5+ years in product ownership, product management or digital delivery; pharma AI and transformation program experience is preferred.

• Ability to work across business, technology, data and governance stakeholders in a matrixed environment.

• Fluent Mandarin and professional English for global collaboration.

(b) Leadership Expectations

• 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 peer teams and partners.

• Precision and learning: communicates clearly, documents decisions, uses evidence and telemetry and continuously improves delivery.

• User and value advocacy: represents the user and the business, keeping every product outcome-driven.

4. Key Collaboration

The role works within the AITO acceleration engine, partnering daily with Forward Deployment Engineers and with the AIT Value & Performance Lead on business cases. It engages China Business Units, Go-to-Market Transformation (GTMx) and Global Commercial Analytics (GCA) to shape demand and validate value, works with external vendors and solution partners on build options, and supports the acceleration-to-scale handover with Digital & Technology (D&T) and the Pfizer Innovation Center (PIC).

5. Measures of Success

• Clear, well-prioritized product backlogs with defined MVP success criteria.

• Proved ROI or business impact against product backlog priorities

• AI products validated for desirability, usability and value before scale decisions.

• Strong user adoption and measurable value from delivered products.

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.