Executive Director, AI and Enterprise Data Management

Responsibilities

• Define and execute a unified enterprise data and AI strategy aligned with company growth and R&D and commercialization goals
• Identify high-impact AI and data opportunities across all functions (R&D, Clinical, CMC, Manufacturing, G&A and etc.)
• Drive executive alignment on AI and data strategy, including opportunities, risks, and investment priorities
• Lead the design and implementation of an enterprise data platform enabling data integration across R&D, CMC, Clinical, and commercial domains
• Enable interoperability and data sharing across previously siloed systems
• AI Governance & Responsible AI
• Define and own the enterprise AI acceptable-use policy, responsible AI framework, and guardrails for LLM deployment in regulated (GxP) workflows
• Ensure alignment with emerging regulatory guidance on AI/ML (FDA AI framework, NIST AI RMF, ISO 42001)
• Maintain audit-ready documentation for AI systems in regulated contexts
• Establish AI model lifecycle governance including validation, performance monitoring (LLMOps), and deprecation procedures
• Partner with Legal, Compliance, and Information Security to manage AI vendor risk and data privacy obligations
• Data Governance & Compliance
• Establish enterprise data governance frameworks including ownership, stewardship, data classification, quality standards, and lifecycle management
• Ensure compliance with regulatory requirements including GMP, GLP, GCP, SOX and data integrity standards
• Partner with Information Security to implement robust data protection, privacy, and AI governance guardrails
• AI Enablement & Deployment
• Partner with IS and business function leaders to identify opportunities for data integration and AI-driven value creation
• Act as a bridge between technical and non-technical stakeholders to ensure adoption and impact
• Prioritize, design, and deploy AI solutions that improve decision-making and operational efficiency
• Manage strategic relationships with AI vendors and development partners, including contracting, performance oversight, and alignment to enterprise standards
• Ensure all AI tools and vendors comply with security, data governance, and regulatory requirements in partnership with Information Security and Legal
• Organizational Leadership
• Build and lead a high-performing, multidisciplinary team spanning data engineering, data science, AI/ML, and informatics
• Integrate and scale the existing digital workspace/agent experimentation team into a formal enterprise function
• Foster a culture of innovation, collaboration, and continuous learning

Requirements

• 12+ years of experience in data, analytics, AI/ML, or informatics leadership roles
• Bachelor’s degree in Computer Science, Data Science, Engineering, Life Sciences, or a related field
• Proven experience building and scaling enterprise data platforms and AI capabilities
• Experience in life sciences, biotechnology, pharmaceutical industry, or technology industry
• Demonstrated success operating in regulated environments
• Experience supporting commercial-stage organizations or scaling companies
• Deep understanding of modern data architectures, cloud platforms, and AI/ML technologies
• Strong business acumen with ability to translate strategy into execution
• Ability to balance innovation with risk management and compliance

Preferred

• Advanced Degree in Data Science, Engineering, Life Sciences or Business
• Pharmaceutical industry experience