Mumbai, India
15 hours ago
Director TL, AI Innovation & Acceleration Lead

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

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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.

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