Director, AI Enablement

Role Summary 

We are seeking a  Director, IT – AI Enablement. In this newly created role, you will shape and execute Apogee’s AI strategy across the enterprise, translating emerging technology into clinical, operational, and competitive advantage. You will set the strategic direction for how AI is adopted, governed, and measured at Apogee, while maintaining day-to-day operational ownership of the AI program, tool ecosystem, and governance framework.  

You will serve as the primary AI thought leader for the organization, advising senior leadership on where to invest, what to govern, and how to build durable AI capability in a regulated environment. You will work across every function and will be expected to operate with the credibility of a technologist and the instincts of a strategist.   

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.