Description
We are seeking an AI Product Manager to lead the growth agenda for our US Commercial and Digital Experience Technology team. You will use generative and predictive AI to accelerate HCP and patient outcomes across the full commercial funnel. Your responsibilities will include:
- Defining the multi-year roadmap for applied AI across US Commercial and Digital experience
- Building autonomous and semi-autonomous agents that generate, test, and optimize creative, targeting, and channel mix for customer support programs
- Leading AI-driven personalization and dynamic content generation that shortens concept-to-MLR-approved-asset time
- Partnering with Data Science/ML Engineering to move growth models from prototype to governed, monitored production services
- Establishing guardrails for model risk, HIPAA and global data-privacy equivalents, bias testing, and human-in-the-loop review
- Deciding which AI/foundation-model vendors and capabilities to pursue for growth outcomes
- Running structured pilots against brand-growth success metrics before greenlighting portfolio-wide rollout
- Acting as the primary translator between Brand/Commercial Leadership, Medical/Legal/Regulatory, Compliance, and Data Science
- Hiring and developing a small, senior team of AI-focused product managers and solutions architects
The ideal candidate will have:
- A Bachelor's degree in computer science, engineering, quantitative, or life-sciences
- 10+ years in product management with at least 2 years shipping AI/ML-powered or generative-AI features into production
- Experience with LLM-based tooling, applied to content generation, personalization and/or omnichannel orchestration
- Experience in commercial growth mechanics, brand planning cycles, customer funnel metrics, market share, and how AI levers move each
- Experience defining success metrics for AI initiatives in commercial terms
We offer a comprehensive benefits program, including:
- Competitive salary
- Opportunities for career growth and development
- Collaborative and dynamic work environment
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