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

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• Direct exposure to senior leadership and strategic decision-making

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• High ownership and visibility across global markets

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• 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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