Role at a glance
- Job function
-
AI & Data AI Product Management
- Salary
- Not Disclosed
- Location
- India, Mumbai
- Work arrangement
- Hybrid
- Employment
- Full-time
- Experience
- 10+ years of experience in Product Management / Product Ownership, preferably in data, analytics, or AI-driven products
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Role Summary
A senior AI and Data Science leader will build and lead a team focused on AI accelerators within commercial analytics. The role defines and delivers Agentic Platforms and solutions intended to support faster, proactive, insight-driven decision-making.
What You'll Do
- Define the product vision, roadmap, priorities, and requirements for Agentic Platforms.
- Identify and prioritize decision use cases, define success metrics and ROI, and track value realization and adoption.
- Coordinate decision architecture, agentic engineering, data and semantic, UX, and market teams across business and technology stakeholders.
- Own the product backlog and release planning, define epics, user stories, and acceptance criteria, and collaborate with engineering...
- Engage senior commercial leaders and global stakeholders through product demonstrations, feedback loops, and prioritization discussions.
- Work with market teams on adoption, training, and feedback, and identify opportunities to scale use cases across brands and geographies.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
10+ years of product management or product ownership experience; experience working across business, technology, and data teams; a track record delivering complex enterprise-grade platforms; proficiency in Python and/or R and understanding of advanced statistics; hands-on ML/LLM/Agentic platform development and deployment experience; knowledge of APIs, MCP, cloud environments, data engineering workflows, and agentic workflows; ability to translate data insights into commercial recommendations; knowledge of marketing intelligence, third-party pharma data, media planning, budget optimization, pharma markets, HCP/DTP promotion strategy, and compliance; experience presenting to C-suite and senior leadership.
Preferred
- Product Management / Product Ownership experience preferably in data, analytics, or AI-driven products
- Experience in commercial analytics, pharma, or healthcare is highly preferred
- Familiarity with AI/ML or GenAI/Agentic systems is a strong plus
Original job description
Content provided by the employer
Original job description
Content provided by the employer
ROLE SUMMARY
Do you want to make an impact on patient health around the world? Do you thrive in a fast-paced environment that brings together scientific, clinical and commercial domains together through data and analytics?
Pfizer is seeking a senior leader in AI & Data Science to build and lead a best-in-class team focused on AI accelerators within commercial analytics. This role is responsible for hands-on development and deployment of Agentic and LLM products & solutions, to support faster, proactive, and insight‑driven human decision‑making. The ideal candidate combines deep technical expertise in ML/LLM/Agentic with a strong consulting and product management background. You will collaborate cross-functionally to empower agentic AI led decision-making, accelerate business transformation, and deliver measurable business impact.
This role sits at the intersection of business strategy, data, and AI, and is responsible for defining what to build and why, ensuring the accelerators delivers measurable business value across markets and use cases.
ROLE RESPONSIBILITIES
Product Strategy & Vision
Define and drive the product vision, roadmap, and priorities for Agentic Platforms
Translate business needs into clear, actionable product requirements
Ensure alignment with commercial strategy and leadership expectations
Use Case Definition & Value Realization
Identify and prioritize high-impact decision use cases
Define business outcomes, success metrics, and ROI
Continuously track value realization and adoption
Cross-Functional Leadership
Act as the central orchestrator across:
Decision Architects
Agentic Engineering
Data & Semantic teams
UX & Market teams &
Drive alignment across business and technology stakeholders
Product Backlog & Delivery Ownership
Own and manage the product backlog and release planning
Define epics, user stories, and acceptance criteria
Ensure timely and high-quality delivery in collaboration with engineering teams
Stakeholder Management & Communication
Engage with senior commercial leaders and global stakeholders
Lead product demos, feedback loops, and prioritization discussions
Drive decision-making with clarity and data-backed insights
Adoption & Scaling
Work with market teams to drive adoption, training, and feedback loops
Identify opportunities to scale use cases across brands and geographies
Required Experience
10+ years of experience in Product Management / Product Ownership, preferably in data, analytics, or AI-driven products
Strong experience working with cross-functional teams (business + tech + data)
Proven track record of delivering complex, enterprise-grade platforms
Experience in commercial analytics, pharma, or healthcare is highly preferred
Familiarity with AI/ML or GenAI/Agentic systems is a strong plus
Technical Skills
Proficient in Python and/or R, with solid understanding of advanced statistics
Strong hands-on experience in ML/LLM/Agentic platform development & deployment
Knowledge of API, MCP, cloud environments and data engineering workflows
Agentic Workflows ( multi step reasoning, reinforcement, Eval etc )
Business & Domain Skills
Proven ability to translate data insights into commercial recommendations
Understanding of marketing intelligence, third party pharma data, media planning, budget optimization
Knowledge of pharma markets, HCP/DTP promotion strategy, and compliance
Ability to partner with marketing, finance, brand teams to influence decisions
Experience presenting to C-suite and senior leadership
What Makes This Role Unique
Opportunity to build a next-generation agentic decision platform
·
Direct exposure to senior leadership and strategic decision-making
·
High ownership and visibility across global markets
·
Chance to shape the future of AI-driven commercial intelligence
Work Location Assignment: Hybrid
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.
Marketing and Market Research
About the company
Pfizer
Large Enterprise
Pfizer is a global biopharmaceutical company dedicated to the discovery, development, and manufacturing of innovative healthcare solutions. With a strong focus on improving lives through medications and vaccines, Pfizer has played a significant role in addressing various health challenges, including infectious diseases, chronic illnesses, and rare conditions. The company emphasizes research-driven approaches and collaborative efforts in its mission to enhance global health and empower patients through cutting-edge science and technology. Through its commitment to high standards of safety and efficacy, Pfizer continues to shape the future of medicine.