Project Director - Data Centre Projects
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Key skills for this role
About the Role
JLL seeks a Project Director to serve as strategic advisor for automation and AI scope in large-scale AI data centers exceeding 1 GW. The role involves defining requirements, coordinating with designers and vendors, and integrating automation into PMC controls.
Key Skills for This Role
Responsibilities
- Work with client’s lead to capture strategic objectives and translate into high level automation and AI requirements for AI data centre campuses.
- Understand automation requirements for AI data centre and help establish Central Command centre managing BacNet, Command Centre Networks, Incident Management, Cybersecurity, Utilities management.
- Support development of automation sections and prepare strategic documents: Technology Reference for Automation, AI development roadmaps.
- Organize and facilitate design and technical review sessions.
- Integrate automation milestones, deliverables, and risks into PMC schedules, dashboards, and risk registers.
- Report progress and issues to client’s governance forums in clear, non technical language.
Requirements
- Bachelor's degree in Construction, Electrical Engineering, Computer Science, IT, or related field.
- 20+ years in technology infrastructure and automation projects.
- 10+ years in mission critical data centre environments.
- 5+ years with AI data centres or hyperscale facilities (500MW+ capacity).
- Proven track record in PMC or advisory roles supporting large scale infrastructure.
- Deep knowledge of data centre automation: BMS, DCIM, integrated control platforms.
- Expertise in BACnet protocols and command centre network architectures.
- Understanding of AI infrastructure requirements at facility and campus levels.
- Knowledge of cybersecurity and incident management for critical infrastructure.
Full Job Posting
Role Purpose
- This position serves as a strategic advisor to the client's automation and IT leadership, defining and packaging automation and AI scope for large scale AI data centers exceeding 1 GW capacity globally or regionally.
- The role ensures requirements are clear, coordinated, and market ready while integrating AI management systems that automate operations at both individual data centre and campus levels.
Key Responsibilities
- Work with the client’s responsible lead to capture strategic objectives and translate them into high‑level automation and AI requirements for AI data centre campuses.
- Understand automation requirements for the AI data centre and help establish Central Command centre managing BacNet, Command Centre Networks, Incident Management, Cybersecurity, Utilities management.
- Support the development of automation sections and prepare strategic documents: Technology Reference for Automation, AI development roadmaps.
- Organize and facilitate design and technical review sessions.
- Integrate automation milestones, deliverables, and risks into PMC schedules, dashboards, and risk registers.
- Report progress and issues to the client’s governance forums in clear, non‑technical language.
Required Qualifications
- Bachelor's degree in Construction, Electrical Engineering, Computer Science, IT, or related field.
- 20+ years in technology infrastructure and automation projects.
- 10+ years in mission critical data centre environments.
- 5+ years with AI data centres or hyperscale facilities (500MW+ capacity).
- Proven track record in PMC or advisory roles supporting large scale infrastructure.
- Deep knowledge of data centre automation: BMS, DCIM, integrated control platforms.
- Expertise in BACnet protocols and command centre network architectures.
- Understanding of AI infrastructure requirements at facility and campus levels.
- Knowledge of cybersecurity and incident management for critical infrastructure.
- Familiarity with utilities management systems for multi site operations.
- Central command centre design and operational principles.
Preferred Qualifications
- Direct experience with 1GW+ data centre campus developments.
- Background with hyperscale clients (AWS, Microsoft, Google, Meta).
- Experience with AI/ML infrastructure deployments.
- International or multi region project experience.
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