ROLE SUMMARY:

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.

ROLE RESPONSIBILITIES:

• 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.

BASIC QUALIFICATIONS:

• 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, statistics, engineering, life sciences, or a related quantitative or scientific field preferred.

• Demonstrated experience leading complex, cross-functional initiatives in applied AI, computational science, data science, digital transformation, or related domains, ideally with responsibility for strategy, portfolio prioritization, and value realization.

• Strong hands-on understanding of LLMs, generative AI, machine learning, and related AI approaches, with the technical credibility to guide decisions, assess trade-offs, and challenge weak approaches even when not serving as the primary builder.

• Demonstrated ability to identify, prioritize, and shape high-value use cases in ambiguous environments, translating scientific or stakeholder needs into practical, reusable solutions with measurable impact.

• Experience building and scaling reusable workflows, methods, products, or platforms rather than delivering isolated one-off analyses.

• Demonstrated ability to develop strategy, shape AI portfolios, and communicate impact and return on investment to senior stakeholders in a clear and credible way.

• Strong matrix leadership, communication, and influence skills, including the ability to align senior stakeholders, provide technical and strategic direction, and drive adoption without relying solely on formal authority.

• Sound judgment regarding methodological rigor, evaluation, provenance, model limitations, risk, and the appropriate role of human oversight in AI-enabled scientific workflows.

PREFERRED QUALIFICATIONS:

• Experience in life sciences, pharma, biotech, systems biology, immunology, translational science, omics, or related research environments.

• Demonstrated ability to operate fluently across AI / technology and biology, grounding technical solutions in scientific reality and engaging credibly with scientists and line leaders.

ADDITIONAL JOB DETAILS:

• Last date to apply is July 15, 2026

• Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week.

Relocation assistance may be available based on business needs and/or eligibility.

Candidates must be authorized to be employed in the U.S. by any employer.

U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.