AI Product Manager – Contractor

This is a fully remote position, open to applicants in California.

📋 Description

• Lead and provide guidance on the enterprise AI product strategy across various business functions.

• Identify, prioritize, and implement AI use cases that align with strategic goals.

• Assess and recommend AI vendor platforms and tools.

• Manage proof-of-concept projects and develop business cases for adoption.

• Define AI product specifications, success metrics, and rollout strategies in collaboration with IT, business stakeholders, and vendors.

• Assist with cybersecurity and infrastructure evaluations of AI tools and platforms.

• Drive AI adoption, change management, user training, and governance initiatives.

• Create and uphold an AI governance framework that addresses risk, usage guidelines, and compliance.

• Collaborate with Corporate Systems teams to ensure the availability of high-quality, governed data assets.

• Act as the main IT contact for R&D, Clinical, Regulatory, CMC, and Training teams.

• Develop and implement AI literacy training and enablement programs.

• Maintain a registry of AI use cases to track status, ROI metrics, and lessons learned.

• Provide updates on the AI program, roadmap progress, and recommendations to leadership.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Information Systems, Life Sciences, or a related field, or equivalent experience.

• Over 8 years of experience in product management, enterprise technology, or a similar role within the biotechnology or pharmaceutical sector.

• Experience overseeing AI/ML or GenAI product initiatives, including vendor assessment, tool implementation, and stakeholder engagement.

• Strong knowledge of large language model (LLM) platforms and generative AI technologies.

• Practical experience evaluating or deploying leading enterprise AI solutions.

• Familiarity with GxP-adjacent environments and AI compliance considerations in clinical, regulatory, or quality contexts.

• Experience working in or with biotechnology or pharmaceutical organizations.

• Ability to translate AI capabilities into business results and communicate trade-offs to non-technical stakeholders.

• Capacity to manage multiple concurrent projects, navigate uncertainty, and foster cross-functional collaboration.

• Formal training, certification, or equivalent professional development in AI/ML is advantageous.

• Knowledge of data governance frameworks and enterprise AI security/compliance issues, including GDPR and HIPAA, is a plus.

🏝️ Benefits

• Competitive compensation package.

• Fully remote work / telecommuting options.

• Supportive and collaborative work environment.

• Opportunity to collaborate with skilled professionals.