Associate Director, Field AI Product Lead

Merck Merck · Pharma · NJ

Lead the end-to-end product strategy, development, and scale of Field Copilot, an evolving suite of agentic Field AI capabilities designed to help field teams sense, decide, act, and learn with confidence. This role will shape how intelligent assistance progresses from single-step copilots to coordinated, multi-step workflows, ensuring capabilities are built as interconnected, interoperable building blocks with shared services for data, identity, evaluation, and safety.

What you'd actually do

  1. Lead the end‑to‑end strategy, design, development, and evolution of Field Copilot as an interoperable platform for agentic Field AI capabilities. Emphasize shared services, reusable components, and consistent user experiences alongside reliability, scalability, measurable business impact, and responsible use.
  2. Translate field and commercial needs into secure, compliant, and high‑impact AI solutions that improve sensing (insight generation), decision support (prioritization), action enablement (task completion), and capability building across business contexts.
  3. Own the product roadmap, prioritization, and delivery across markets. Sequence capability maturity from assistive experiences to agentic workflows, and balance standardization with market‑appropriate flexibility.
  4. Partner closely with commercial, IT, data, legal, privacy, compliance, and L&D stakeholders to ensure solutions are fit for purpose, responsibly governed, and aligned with enterprise standards.
  5. Evolve a portfolio of reusable Field AI capabilities such as insight generation, conversational decision support, workflow orchestration, and AI‑enabled learning. Engineer these capabilities for high interoperability through shared primitives (data and context, identity, permissions, evaluation, and safety guardrails) and clear integration contracts

Skills

Required

  • Proven experience leading advanced AI products in an enterprise with end‑to‑end accountability from concept through scaled deployment.
  • Strong product leadership and technical acumen, with the ability to work effectively across data platforms, AI‑enabled capabilities, and modern application architectures without losing focus on user value.
  • Demonstrated ability to collaborate with cross‑functional stakeholders and influence outcomes across commercial, technical, and governance functions in a matrixed environment.
  • Solid understanding of data fundamentals, with hands‑on experience interrogating data, ensuring data quality, and partnering with engineering teams to resolve issues.
  • Demonstrated expertise in both operating within and shaping regulated environments, including defining and embedding privacy, compliance, and responsible AI practices across the product lifecycle.

Nice to have

  • Bachelor’s degree in a relevant field such as Computer Science, Data Analytics, Engineering, or a related discipline, with 8+ years of experience, or master’s degree in a similar field with 6+ years of experience.
  • Strong analytical and problem‑solving skills, with a tra

What the JD emphasized

  • end-to-end product strategy, development, and scale
  • agentic Field AI capabilities
  • interoperable platform for agentic Field AI capabilities
  • responsible AI practices
  • regulated environments

Other signals

  • end-to-end product strategy, development, and scale
  • suite of agentic Field AI capabilities
  • interoperable platform for agentic Field AI capabilities
  • responsible AI practices