Director TL, AI Innovation & Acceleration Lead

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Mumbai, Maharashtra, IND
Hybrid
Expert/Leader
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
We’re in relentless pursuit of breakthroughs that change patients’ lives.
The Role
Leads the strategy, development, deployment, and adoption of agentic AI and LLM platforms for commercial analytics. Defines product vision, use cases, roadmaps, backlogs, success metrics, and ROI while coordinating engineering, data, UX, market, and business teams. Partners with senior commercial leaders to scale AI-driven decision-making across brands and geographies. Requires extensive product leadership, AI/ML development, commercial analytics, pharma or healthcare knowledge, and executive communication experience.
Summary Generated by Built In
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
#BI-Hybrid

Skills Required

  • 10+ years of experience in Product Management or Product Ownership, preferably involving data, analytics, or AI-driven products
  • Strong experience working with cross-functional business, technology, and data teams
  • Proven track record delivering complex, enterprise-grade platforms
  • Proficiency in Python and/or R
  • Solid understanding of advanced statistics
  • Hands-on experience developing and deploying ML, LLM, or agentic platforms
  • Knowledge of APIs, MCP, cloud environments, and data engineering workflows
  • Experience with agentic workflows, including multi-step reasoning, reinforcement, and evaluation
  • Ability to translate data insights into commercial recommendations
  • Understanding of marketing intelligence, third-party pharmaceutical data, media planning, and budget optimization
  • Knowledge of pharmaceutical markets, HCP/DTP promotion strategy, and compliance
  • Ability to partner with marketing, finance, and brand teams to influence decisions
  • Experience presenting to C-suite and senior leadership
  • Experience in commercial analytics, pharma, or healthcare
  • Familiarity with AI/ML or GenAI/agentic systems

What the Team is Saying

Daniel
Anna
Esteban
Pfizer

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HQ: New York, NY
121,990 Employees
Year Founded: 1848

What We Do

Our purpose ensures that patients remain at the center of all we do. We live our purpose by sourcing the best science in the world; partnering with others in the healthcare system to improve access to our medicines; using digital technologies to enhance our drug discovery and development, as well as patient outcomes; and leading the conversation to advocate for pro-innovation/pro-patient policies.

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