Leads strategy, roadmaps, and delivery for AI/ML and Generative AI products supporting commercial, medical, and government affairs. Creates product requirements, manages backlogs, partners with technical and business teams, builds ROI cases, drives experimentation and launches, and oversees responsible AI governance, scalability, compliance, and post-launch optimization. Requires strong executive communication and experience managing enterprise AI initiatives.
Our client, a world leader in biotechnology and life sciences, is looking for an “AI Product Manager - Data Science”.
Location: South San Francisco, CA
Job Duration: Long-Term Contract (Possibility Of Extension)
Rate: $85-$90/hr on W2
Company Benefits: Medical, Paid Sick Leave, 401 (k)
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.
If interested, please share your updated resume at [email protected]/[email protected]
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