ROLE SUMMARY
The Director, AI Product, Innovation & Emerging Technology reports to the Sr. Director AI Product Innovation Lead within the PGS Data, Analytics & AI Transformation Organization. This role combines strategic product leadership with hands-on agentic AI expertise to identify, evaluate, and advance transformative AI opportunities across PGS. The position drives the development and productization of high-impact, enterprise-scale AI use cases that deliver measurable business value while accelerating Pfizer's adoption of emerging technologies.
The Director partners closely with senior business leaders, Digital, platform engineering, and the agentic AI delivery team to translate emerging capabilities into scalable business solutions. This individual personally builds and iterates rapid, working agentic prototypes to test feasibility, refine requirements, and demonstrate value before committing to production development. With practical knowledge of agent architectures, tools, data integration, and evaluation, the Director serves as a credible technical partner to delivery engineers while shaping investment strategies, value cases, and AI priorities.
As a champion of product excellence and responsible AI practices, the Director helps establish product management standards, governance, and innovation frameworks that enable sustainable scaling. The role bridges business discovery, hands-on experimentation, and engineering delivery, partnering with the agentic delivery team on production readiness while that team retains ownership of production engineering, deployment, and operational support.
ROLE RESPONSIBILITIES
Define and drive the AI product innovation strategy for emerging and transformative use cases across PGS, identifying opportunities that deliver significant business impact and long-term competitive advantage.
Lead the discovery, assessment, and productization of lighthouse AI initiatives, establishing clear business outcomes, success measures, and pathways from concept through production and enterprise adoption.
Personally design, build, and iterate rapid agentic AI prototypes using enterprise-approved platforms, agent frameworks, and lightweight code. Use working, tool-enabled workflows to test business hypotheses and incorporate user feedback in short cycles.
Translate business processes into agent workflow designs, defining goals, data sources, tool interactions, human approval points, and exception handling. Establish representative evaluation scenarios and acceptance criteria covering task success, output quality, safe tool use, latency, and cost to inform proceed, pivot, or stop decisions.
Partner with the agentic delivery team from discovery through implementation, contributing to technical design reviews and backlog refinement. Provide prototype code or configurations, workflow specifications, evaluation results, and known limitations to accelerate engineering delivery and reduce rework.
Serve as a strategic advisor to senior leaders, influencing AI investment priorities and helping stakeholders evaluate opportunities, risks, value realization, and resource requirements.
Develop and socialize robust business cases, investment recommendations, and value realization frameworks that support funding decisions and executive sponsorship.
Monitor and evaluate emerging AI technologies, foundation models, industry trends, and competitive developments, translating external insights into actionable opportunities for Pfizer.
Partner with agentic delivery, Digital, platform engineering, data, and architecture leaders to assess model and orchestration choices, integration dependencies, and trade-offs across reliability, cost, latency, and scalability. Align solutions with enterprise standards and reusable capabilities rather than creating isolated prototypes.
Establish and promote best practices for AI product management, innovation governance, and responsible AI adoption. Embed approved data access, least-privilege…