Head, AI Delivery & Enablement; AIDE), Director

Head, AI Delivery & Enablement (AIDE), Director

• United States
  - Massachusetts
  - Cambridge

We’re in relentless pursuit of breakthroughs that change patients’ lives. We innovate every day to make the world a healthier place.

To fully realize Pfizer’s purpose – Breakthroughs that change patients’ lives – we have established a clear set of expectations regarding “what” we need to achieve for patients and “how” we will go about achieving those goals.

Pfizer Research & Development serves as the beating heart of Pfizer's trailblazing product pipeline, the essence of our mission to bring life‑changing medicines to the world.

Pfizer offers competitive compensation and benefits programs designed to meet the diverse needs of our colleagues.

The successful candidate for the Head, AI Delivery & Enablement (AIDE) position leads the strategy and technical direction for applied AI across Inflammation & Immunology (I&I), translating advances in large language models, agentic systems, multimodal AI, and related methods into reusable capabilities that strengthen scientific decision‑making end‑to‑end. The role combines deep technical credibility with strong scientific judgment and is accountable for shaping the AIDE portfolio, defining governance and evaluation standards, guiding selected external partnerships, and accelerating practical AI adoption across I&I.

This role is intended for a technically credible AI leader who can operate at the interface of machine learning, computational biology, and drug discovery, while remaining grounded in the realities of scientific decision‑making. Success will require setting a clear strategy, directing high‑value use cases, ensuring that solutions are scientifically robust and trusted, and building reusable capabilities that improve the speed, quality, and coherence of evidence generation across the portfolio.

• Set the strategic direction for AI Delivery & Enablement (AIDE) and define a clear roadmap for how large language models, agentic systems, multimodal AI, and related methods will be applied to high‑value scientific problems across Inflammation & Immunology (I&I).
• Lead the AIDE portfolio across I&I, identifying, prioritizing, and shaping opportunities so that AIDE focuses on areas where technically credible, reusable AI capabilities can create meaningful scientific or operational leverage.
• Provide senior technical and scientific direction across the AIDE line, ensuring that proposed solutions are methodologically sound, fit for purpose, and grounded in biological, translational, and drug discovery context.
• Guide the development of reusable AI‑enabled capabilities that strengthen scientific decision‑making end‑to‑end, with emphasis on scientific rigor, technical quality, reproducibility, and practical utility across I&I lines.
• Establish governance and evaluation standards for AIDE‑built capabilities, including expectations for provenance, validation, guardrails, responsible use, and appropriate human oversight.
• Partner closely with Systems Immunology, I&I line teams, and Digital partners to ensure that AI efforts remain tightly aligned to real scientific needs and can be deployed in ways that are trusted, scalable, and adopted in day‑to‑day work.
• Shape and manage selected external partnerships relevant to AIDE priorities, helping evaluate emerging technologies and collaborators while ensuring that external engagements remain aligned to Pfizer priorities and I&I needs.
• Articulate the value and impact of the AIDE portfolio to senior stakeholders, including the strategic rationale, technical differentiation, adoption trajectory, and return on investment of key initiatives.
• Build a strong technical culture within AIDE, fostering scientific curiosity, high standards, collaboration, and continuous learning, while helping raise confidence in the responsible application of AI across I&I.

• Bachelors degree and 8+ years of relevant work experience OR Master’s degree and 7+ years of experience OR PhD and 5+ years of experience. Advanced degree in computer science, machine learning, artificial intelligence, computational biology, bioinformatics,…