Description:
A private, investment-backed technology organization is building a large-scale AI and high-performance computing (HPC) data center platform. We are hiring an Executive Director to lead program execution and strategic delivery across data center development initiatives, translating business objectives into disciplined outcomes across schedule, capital deployment, and cross-functional alignment. This is an executive business leadership role for someone who thrives in complex, schedule-driven environments. You will partner closely with engineering and operations leaders, establish governance and performance mechanisms, and drive delivery across multiple workstreams and external partners. What You'll Tackle Own end-to-end program leadership for data center development from concept through steady-state operations Build and execute a multi-phase delivery roadmap aligned to AI/HPC growth objectives Drive schedules, milestones, and delivery accountability across engineering, construction, and operations Establish program governance, KPIs, reporting cadences, and decision forums Lead business case development and identify opportunities to improve capital efficiency and financial outcomes Manage external partners (EPCM, key vendors, delivery partners, third-party providers)Drive operating model and process development to enable scalable delivery Ensure program readiness across safety, regulatory, and compliance requirements What You Bring 10+ years leading large, complex infrastructure or technology programs (data centers, energy, industrial environments)Demonstrated success in capital-intensive, schedule-driven delivery organizations Strong executive communication and stakeholder management across technical and non-technical teams Ability to lead through influence and ambiguity, creating structure and execution rigor Bachelor's degree required
Nice to Have:
MBA or equivalent Experience supporting AI/HPC infrastructure organizations Exposure to power generation, energy strategy, or critical facility operations How We Work High ownership, clear accountability, and measurable outcomes Cross-functional partnership with engineering, operations, finance, procurement, and leadership Bias toward operational rigor: cadence, metrics, and decision discipline
