Senior Director, Applied AI - US Commercial

Pfizer Pfizer · Pharma · New York, NY

Senior Director, Applied AI role focused on enterprise strategy, system-level architecture, and leading teams to deliver AI solutions at scale. The role requires shaping AI strategy, designing operating models, and ensuring coherence across initiatives, with a hands-on technical component in modern AI and agent frameworks. It emphasizes translating technological possibilities into business value and maintaining quality and security standards.

What you'd actually do

  1. Shape and evolve enterprise or domain-level AI strategy, grounded in clear business value and transformation outcomes.
  2. Design and evolve enterprise AI operating models, the target technology landscape, and the relationships between platforms, capabilities, and embedded solutions.
  3. Drive portfolio-level architectural decisions across initiatives, platforms, and reusable capabilities.
  4. Define and steward “what good looks like” across AI architecture, solution design, and operational execution — quality, evaluation and governance, integration patterns, reuse and modularity.
  5. Stay hands-on where it matters — architecture and code review with modern AI and agent frameworks — to validate emerging technology, de-risk decisions, and keep direction grounded in what is buildable.

Skills

Required

  • 12+ years in AI, data, or software architecture, with significant experience at enterprise or multi-domain scale.
  • Proven ability to shape enterprise or domain-level strategy and architecture direction, tied to measurable business outcomes.
  • Current hands-on technical proficiency — able to read, write, build, and review code with modern AI / agent frameworks.
  • Experience leading full-time engineers, contractors, and vendor partners to deliver production-grade systems.
  • Strong experience in operating-model design, governance frameworks, and architectural standardization.
  • Demonstrated ability to influence senior executives.

Nice to have

  • System thinker and transformation shaper
  • Comfortable under ambiguity and at enterprise scale
  • Strong technical judgment and current hands-on ability
  • Business acumen
  • Framing AI not as a technology initiative but as a driver of operational and strategic transformation
  • Equally effective influencing senior executives, guiding technical leaders, and directing the engineers, contractors, and vendors who do the build
  • Cross-domain synthesis and orchestration

What the JD emphasized

  • enterprise-wide value
  • architectural direction
  • standards
  • decision frameworks
  • measurable outcomes
  • reusable capabilities
  • unified direction
  • agentic systems
  • LLMs
  • traditional AI/ML
  • neural networks
  • data architecture
  • AI-readiness of data
  • retrieval architecture
  • solution-design architecture
  • tracing
  • monitoring
  • observability
  • AI guardrails
  • governance

Other signals

  • enterprise-wide value
  • architectural direction
  • standards
  • decision frameworks
  • measurable outcomes
  • reusable capabilities
  • unified direction
  • agentic systems
  • LLMs
  • traditional AI/ML
  • neural networks
  • data architecture
  • AI-readiness of data
  • retrieval architecture
  • solution-design architecture
  • tracing
  • monitoring
  • observability
  • AI guardrails
  • governance