AI Factory Development Director

Role Overview

Program Delivery

• Lead end-to-end program management across all AI Factory and MDC deployments — real estate, procurement, design, build, and operational handover
• Own milestone tracking and stage-gate progression from pre-seed through to construction and stabilization phases
• Manage program baseline, variation orders, and cost-to-complete forecasting across all active sites
• Drive PMO gate compliance — Capex Control and Technical Governance domains — ensuring no site proceeds without proper gate clearance

Commercial & Contract Management

• Lead LOI progression with anchor tenants, negotiating Heads of Terms and progressing to EPC and long-term agreements
• Manage EPC contracts, operator agreements, and vendor negotiations across hardware, civil, and MEP workstreams
• Maintain commercial oversight of power pre-applications, land option agreements, and grid connection contracts
• Coordinate capex commitments and variation orders; produce budget vs. actual reporting for PMO and Steering Committee

Stakeholder & Partner Management

• Interface daily with the Hardware Deployment Lead and Commercial Lead; co-own weekly WSR reporting to PMO
• Represent Magna AI in all EPC, design, and land negotiations — acting as the primary counterparty for site delivery
• Manage platform partner engagement (Magnaverse, Wistron, TSMC GCC/UAE supply chain) at the program level
• Escalate technical deviations, budget overruns (>5%), and HSEQ events per the PMO escalation protocol within defined timeframes

Strategy & Market Entry

• Shortlist 3–5 sites per deployment cycle based on anchor tenant LOI demand — customer-led, not site-led
• Support market prioritization across GCC/UAE, sub-Saharan Africa (Technova JV), and SEA based on power availability, connectivity, and customer verticals
• Contribute to the divestiture data room packaging at the 30–36 month full AI Factory stage

Essential Experience

• 8–12+ years in data center, infrastructure, or large-scale construction program management
• Proven track record delivering 10MW+ data center or mission-critical infrastructure projects end-to-end
• Deep experience with EPC contract structures, LOI/HoT negotiations, and stage-gate project governance
• Demonstrable capex management across $50M–$500M+ infrastructure programs
• Prior experience in GCC, Africa, or SEA markets — regional regulatory and procurement knowledge essential

Desired Skills

• Familiarity with DCIM, BMS, and MDC/containerized data center deployment models is a plus
• Exposure to NVIDIA GPU infrastructure, liquid-cooling, or AI compute facility design
• Experience interfacing with PE/infrastructure fund investors and SPV structuring processes
• Strong project management skills

Personal Attributes

• Commercially sharp — able to read a contract, hold a vendor, support LOI discussions
• High ownership mentality — operates without a playbook and builds the process while delivering
• Collaborative and direct — works at pace with a small team across multiple time zones
• Clear communicator — capable of presenting program status to board-level stakeholders and SPV investors

Growth Mindset

• Embraces ambiguity as opportunity — thrives in a founding-team environment where the structure, process, and playbook are built in real time alongside delivery
• Actively seeks feedback — treats Steering Committee reviews, PMO gate challenges, and investor scrutiny as inputs for continuous improvement, not obstacles
• Learns across disciplines — invests time in understanding the wider ecosystem
• Resilient under setbacks — treats issues as problems to iterate around, not reasons to stall
• Draws on diverse experience — applies lessons from other sectors, geographies, and project types to solve novel AI infrastructure challenges where no direct precedent exists