AI Product Manager - Data Science
Summary
Leads AI/ML product strategy, roadmap, and delivery for a biotech client, focusing on commercial, medical, and government affairs. Works with data science, engineering, and business teams to develop AI-powered solutions for customer engagement, personalization, and decision-making.
We are seeking a Principal Data Science/AI Product Manager to lead the strategy, roadmap, and delivery of innovative AI/ML products supporting Commercial, Medical, and Government Affairs. This role will partner with Data Science, Engineering, IT, and business leaders to develop AI-powered solutions that improve customer engagement, personalization, automation, and decision-making.
Key Responsibilities:
- Define AI/ML product vision, strategy, roadmap, and priorities.
- Lead development of AI/ML and Generative AI product capabilities.
- Create PRDs, product requirements, user stories, and prioritized backlogs.
- Partner with Data Science, Engineering, IT, and business stakeholders.
- Build business cases and demonstrate measurable ROI/business impact.
- Drive experimentation, UAT, product launches, and post-launch optimization.
- Manage internal and external technical teams and consultants.
- Ensure responsible AI, governance, scalability, and compliance.
- Communicate product strategy and progress to senior/executive stakeholders.
Required Qualifications:
- Bachelor’s degree in Business, Data Science, Engineering, or related field.
- 8+ years of combined Product Management, Data Science, AI/ML, or software development experience.
- Hands-on knowledge of AI/ML, Generative AI, NLP, or Deep Learning.
- Proficiency in Python, R, Scala, or SQL.
- Strong experience with PRDs, Agile/Scrum/Kanban, product roadmaps, a
- nd product lifecycle management.
- Experience leading enterprise AI/ML strategy and cross-functional initiatives.
- Strong executive communication and stakeholder management skills.
- Understanding of cloud and enterprise architectures such as SaaS, PaaS, and IaaS.
Preferred:
- Advanced degree in AI, Data Science, Business, or related field.
- Healthcare, pharmaceutical, biotech, or other regulated-industry experience.
- Experience with Responsible AI, AI governance, model monitoring, scalability, and cost optimization.
- Experience with user research/design thinking and digital transformation.