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 & Discovery
- Own 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 & Execution
- Partner 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 Engagement
- Work 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 & Compliance
- Ensure 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 & Iteration
- Define 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.