Director, AI Enablement

About Apogee Therapeutics

Founded in 2022, Apogee Therapeutics, Inc. (Ticker: APGE) is a well-funded, Nasdaq listed company that offers the opportunity to work in a fast-paced, highly dynamic environment. At Apogee, you can actively contribute to shaping the company culture, take on various roles and responsibilities, and grow professionally.

Apogee Therapeutics is a clinical-stage biotechnology company advancing novel biologics with potential for differentiated efficacy and dosing in the largest I&I markets, Apogee’s antibody programs are designed to overcome limitations of existing therapies by targeting well-established mechanisms of action and incorporating advanced antibody engineering to optimize half-life and other properties. Zumilokibart (APG777), the company’s most advanced program, is being initially developed for the treatment of atopic dermatitis (AD), which is the largest and one of the least penetrated I&I markets, as well as asthma. With four validated targets in its portfolio, Apogee is seeking to achieve best-in-class efficacy and dosing through monotherapies and combinations of its novel antibodies. Based on a broad pipeline and depth of leadership and expertise, the company believes it can deliver value and meaningful benefit to patients underserved by today’s standard of care.

We are a fast-paced company committed to building an exceptional culture, founded on our C.O.R.E. values: Caring, Original, Resilient and Egoless and a commitment to refusing to stop at “good enough”.

If this sounds like you, keep reading!

 

Role Summary

As Director, IT – AI Enablement, reporting to the Sr. Director of IT – Digital Strategy & Enterprise Architecture, 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 capabili