Director, AI Enablement

Key Responsibilities

Program Operations & Adoption

Own end-to-end execution of the AI Enablement Program: working group facilitation, use case pipeline management, adoption tracking, and executive reporting

Drive AI literacy and responsible use across a diverse workforce, meeting employees where they are and building capability without coercion

Design and deliver training and engagement programs calibrated to varied audience profiles and functional contexts

Manage the use case intake pathway from submission through scoring, cross-functional review, and outcome documentation

Coordinate with external AI strategy and implementation partners to maintain an integrated, non-duplicative delivery pipeline

Cross-Functional Collaboration

Partner with Cybersecurity on AI tool security reviews, access control requirements, audit logging, and risk response protocols

Collaborate with Legal and Compliance on data privacy, IP risk, MNPI controls, and contractual obligations across AI deployments

Work with Data Engineering & Analytics to align AI tools with the enterprise data platform and govern data access across regulated and non-regulated environments

Engage Clinical Operations, Regulatory Affairs, and Medical teams to surface, prioritize, and advance AI use cases in trial and submission workflows

Partner with Finance, HR, Commercial, and G&A leadership on non-clinical use case discovery and deployment

Facilitate the AI Working Group, maintaining cross-functional accountability and structured deliberation on tool assessments and program priorities

AI & Agent Ecosystem Ownership

Serve as the enterprise administer on the AI and agent tool landscape, owning tool selection, lifecycle management, and the capability roadmap across LLM platforms, agentic workflows, productivity tools, and clinical AI applications

Evaluate net-new tools and agentic frameworks through the governance assessment pathway before deployment; maintain the approved tool inventory with current risk classifications

Manage vendor relationships, contract terms, and licensing decisions in coordination with Finance, Legal, and Procurement

Stay ahead of capability shifts in the agent ecosystem and proactively surface opportunities.

Governance, Risk & Compliance

Administer the AI Governance Framework: Approved Systems Registry, risk classification tiers, and GxP and non-GxP assessment pathways

Ensure AI deployments meet applicable regulatory, privacy, and data integrity standards, and support audit readiness across GxP-adjacent environments

Evolve governance controls as the tool landscape and regulatory environment change.

Performance Measurement

Define and own program success metrics, such as adoption rates, use case throughput, time-to-assessment, literacy baselines, and quantified efficiency gains by function

Establish a reporting cadence to leadership and the Governance Committee with clear narrative on program ROI and risk posture

Maintain a use case outcomes repository to capture lessons learned and identify replication opportunities across the organization

Benchmark Apogee’s AI maturity against clinical-stage biotech peers and industry best practice to prioritize program investments

Ideal Candidate

8+ years of progressive experience in digital strategy, enterprise technology, or AI program leadership; prior experience at a life sciences, biotech, or regulated healthcare organization strongly preferred

Demonstrated ability to develop and execute AI or digital strategy in a matrixed, cross-functional environment

Track record of building or operating AI governance, risk classification, or responsible AI frameworks

Proven cross-functional leadership: ability to earn trust and drive outcomes across Cybersecurity, Legal, Clinical, and business functions without formal authority

Hands-on familiarity with enterprise AI platforms, LLM-based tools, and agentic frameworks, including policy administration and access controls

Strong executive communication and presentation skills; ability to advise senior leadership with clarity and appropriate precision

Direct experience in a clinical-stage or late-phase biotech or pharma environment, with working knowledge of GxP, 21 CFR Part 11, Annex 11, or comparable frameworks

Familiarity with agentic AI architectures and multi-tool orchestration in enterprise environments

Consulting background (Big 4 or strategy firm) with experience managing multi-stakeholder programs and external delivery partners

Working knowledge of FDA AI/ML guidance, EU AI Act, or NIST AI RMF as they apply to enterprise or clinical AI deployment

Comfortable operating in a fast-paced, high-growth clinical-stage biotech environment, start-up experience a plus

Position requires up to 20% travel including mandatory attendance at Apogee All Hands meeting typically held twice per year

The anticipated salary range for candidates for this role will be $225,000-$250,000/ year. The final salary offered will depend on several factors, which may include, but is not limited to relevant years of experience, educational background, and geography.