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The Manager, Data Center Operations – AI Data Center Deployments is responsible for the operational management, safe execution and scaling of AI Data Center infrastructure deployments across assigned sites.
The role provides leadership across site operations, workforce management, Health & Safety, recruitment, mobilization and operational scaling, ensuring deployments are delivered safely, efficiently and in accordance with customer requirements, approved procedures, project schedules and quality standards.
The Manager leads the operational delivery organization across Site Leads, Shift Leads, Data Center Engineers/Technicians and specialist resources, while coordinating closely with Project/Program Management, technical leadership, customers, vendors and staffing partners.
A key focus of the position is building a safe, repeatable and scalable delivery capability that can support multiple Data Halls, PODs and AI Data Center locations as customer demand expands.
Key Responsibilities
Operational Delivery
- Manage day-to-day operational execution of AI Data Center build-outs across assigned sites.
- Lead delivery across infrastructure QA, defect remediation, asset scanning and validation, liquid cooling activities, power/network readiness and Pharmacy/Break-Fix operations. These activities reflect the current deployment lifecycle being executed across the AI DC program.
- Provide operational leadership to Site Leads, Shift Leads, engineers, technicians and specialist resources.
- Monitor productivity, quality, milestones and completion status and drive resolution of operational blockers.
- Coordinate customer, engineering, project management, vendor and site dependencies required to maintain delivery.
- Traveling between locations is a necessary requirement
Health & Safety
- Own Health & Safety as a fundamental operational priority across assigned AI Data Center deployments.
- Ensure all operational personnel understand and comply with customer, site and organizational Health & Safety requirements.
- Ensure required safety training, PPE requirements, site orientation and operational readiness activities are completed before personnel undertake onsite work.
- Drive a strong safety culture across Site Leads, Shift Leads, technicians, engineers, contractors and vendor personnel.
- Ensure safety risks, incidents, unsafe conditions and compliance concerns are identified, escalated and appropriately addressed.
- Partner closely with dedicated Health & Safety resources and site leadership to maintain safe working practices throughout deployment activities.
- Reinforce adherence to approved SOPs, MOPs, escalation procedures and operational controls.
- The current AI DC operating model already incorporates a dedicated Health & Safety Officer, OSHA 10 certification, site-specific safety training, PPE standards and safety requirements as part of operational readiness.
Recruitment, Workforce Management & Scaling
- Own operational workforce planning to ensure appropriate staffing and skills are available to meet current and forecast AI Data Center deployment requirements.
- Work closely with recruitment teams, staffing agencies, vendor partners and internal leadership to recruit and mobilize Data Center resources.
- Manage operational onboarding requirements including background clearances, customer/site access, training and deployment readiness.
- Develop staffing and capacity plans capable of supporting 24x7 operations, concurrent Data Hall activity and multiple deployment locations.
- Build and maintain a sustainable core team of experienced AI Data Center personnel that can be leveraged to mobilize and stabilize new sites.
- Support contractor-to-FTE conversion and other workforce strategies designed to retain critical knowledge and skills as the program scales.
- Coordinate movement of experienced resources between deployments to enable knowledge transfer, accelerate mobilization and develop new teams.
- Identify future skills and capacity requirements early enough to support recruitment, training and deployment planning.
- Build organizational bench strength to reduce dependency on individual resources and support continued expansion.
These areas directly reflect current operational requirements. The latest reporting identifies background-check turnaround as a constraint to onboarding, concurrent Data Hall/site activity as a capacity consideration, and conversion of key contractors to FTEs as part of retaining critical knowledge while the AI DC program scales.
Governance, Risk & Reporting
- Own operational risk identification, escalation and mitigation across assigned deployments.
- Ensure effective shift handover and daily operational reporting disciplines.
- Provide accurate operational input into daily, weekly and monthly program reporting covering delivery, staffing, safety, issues, risks and forward requirements.
- The established AI DC reporting framework includes Shift Handovers, Daily Rollups, Weekly Updates and Monthly Reporting.
- Partner with Project and Program Management on milestones, RAID management, workforce requirements and customer governance.
- Capture lessons learned and continuously improve operating procedures and deployment practices to support repeatable execution across future AI Data Center sites.
Knowledge and Attributes
- Strong knowledge of Data Center operations, infrastructure deployment and mission-critical environments.
- Knowledge of AI/high-density compute infrastructure and large-scale rack deployment environments.
- Understanding of rack installation, asset validation, structured cabling, liquid cooling, power/network readiness and break-fix operations.
- Strong Health & Safety knowledge and demonstrated ability to establish a safety-first operational culture.
- Understanding of SOPs, MOPs, risk controls, incident management and escalation procedures.
- Strong workforce planning, recruitment, onboarding and resource-management capability.
- Proven ability to scale technical delivery teams across multiple shifts, Data Halls or locations.
- Strong leadership and people-management capability across diverse technical teams.
- Strong problem-solving, risk-management and operational decision-making skills.
- Strong customer and stakeholder-management capability.
- Ability to operate effectively within fast-moving deployment environments with changing priorities.
- Strong written and verbal communication skills, including operational and executive-level reporting.
- Demonstrated focus on accountability, safety, quality, employee development and continuous improvement.
Academic Qualification
- Bachelor’s degree in Information Technology, Engineering, Computer Science, Construction Management, Operations Management, Business Management or a related discipline preferred.
- Equivalent combination of relevant technical qualifications, certifications and significant Data Center/infrastructure delivery experience may be considered.
- Relevant Data Center, project management, infrastructure or Health & Safety certifications are advantageous.
- OSHA or equivalent Health & Safety training is advantageous for positions supporting onsite Data Center deployment activities.
NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $104,000 to $148,000 annually. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications.
This position may also be eligible for incentive compensation based on individual and/or company performance.
This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.
Workplace type:
Hybrid Working
About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune
Global 100. We are committed to accelerating client success and positively impacting society through
responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with
unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and
application services. Our consulting and industry solutions help organizations and society move
confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more
than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as
established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each
year in R&D.
Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
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