Job Overview:
We are seeking an experienced AI Product Manager to lead the definition, delivery, and scaling of AI-enabled solutions across enterprise and scientific workflows. This role partners closely with business stakeholders, data science, engineering, and compliance teams to translate real-world life sciences use cases into production-ready, compliant AI products. The ideal candidate brings a strong product mindset, fluency in AI concepts including generative AI, analytics, and automation, and experience operating in regulated environments such as pharma, biotech, or medical devices.
Key Responsibilities:
Product Strategy & DiscoveryOwn the product vision, roadmap, and success metrics for assigned AI use cases.
Identify and prioritize high-value AI opportunities aligned to business outcomes.
Translate ambiguous business problems into clear product requirements and user stories.
Navigate evolving problem spaces to uncover applied AI opportunities that deliver tangible business value.
Delivery & ExecutionPartner with data science, engineering, and platform teams to deliver AI-powered solutions end to end.
Lead backlog prioritization, sprint planning, and stakeholder reviews.
Ensure AI capabilities are production-ready, scalable, and operationally supported.
Rapidly test assumptions, refine scope, and iterate toward MVPs that balance impact, feasibility, and risk.
Stakeholder & Domain EngagementWork directly with subject matter experts across R&D, Clinical, Regulatory, Quality, Medical Affairs, Manufacturing, Finance, and Commercial.
Act as the primary translator between business needs and technical implementation.
Manage expectations, tradeoffs, and timing across diverse stakeholder groups.
Governance, Risk & ComplianceEnsure AI solutions are designed with appropriate controls, documentation, and auditability.
Partner with Legal, Compliance, Quality, and IT to align with regulatory and data governance requirements, including GxP and validation considerations.
Define human-in-the-loop workflows, guardrails, and success criteria for AI usage.
Measurement & IterationDefine and track success metrics spanning adoption, value realization, quality, and risk indicators.
Incorporate user feedback and performance data to iteratively improve the product.
Support go-to-market, enablement, and change management efforts as needed.
Required Qualifications:
5+ years of product management experience across enterprise, data, or digital products.
Hands-on experience delivering AI-enabled, analytics, or automation solutions.
Strong ability to translate business problems into structured product requirements.
Experience working cross-functionally with engineering, data science, and business teams.
Comfort operating in complex, matrixed, and regulated environments.
Excellent communication and stakeholder management skills.
Preferred Qualifications:
Experience in life sciences, pharmaceuticals, biotech, or medical devices.
Familiarity with regulated environments, including GxP, clinical, quality, and regulatory workflows.
Exposure to generative AI, LLMs, intelligent automation, or advanced analytics.
Experience with enterprise platforms including Microsoft, data platforms, and workflow tools.
Background working on portfolio-level or multi-use-case AI initiatives.