Subregional Energy Efficiency Manager (Data Centers)

Digital Realty

Dallas (TX)

On-site

USD 150,000 - 165,000

Full time

14 days+

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Job summary

Digital Realty is seeking a Subregional Energy Efficiency Manager to optimize energy and water use across our data center operations in the subregion. This role bridges sustainability strategy with site execution, driving improvements in PUE and WUE, and supports cost-efficient energy planning while collaborating with operations, engineering, finance, and customer teams.

The position requires 7+ years in mission-critical environments, a technical engineering degree, and deep knowledge of data

Qualifications

  • 7+ years of experience in mission-critical mechanical and electrical environments, preferably within data centres, IT, or telecoms.
  • Bachelor’s degree in a technical or engineering discipline, with several years’ experience in energy management, sustainability, or environmental engineering.
  • Strong knowledge of data centre infrastructure, including UPS systems, generators, cooling systems, and energy metering concepts.
  • Experience with energy monitoring, management, and reporting platforms, and the ability to interpret energy data accurately.
  • Proven analytical skills with the ability to translate complex data into actionable operational and financial insights.
  • Ability to read and work with electrical and mechanical diagrams.
  • Demonstrated project management skills, including leading cross-functional initiatives and managing change.
  • Strong communication skills, including the ability to present technical and analytical information to diverse audiences.
  • Leadership and people-management capabilities, including coaching, development, and team collaboration (where applicable).
  • A proactive, detail-oriented, and results-driven mindset with strong decision-making and stakeholder-management skills.

Responsibilities

  • Oversee and manage all aspects of subregional energy and water utility usage across data center operations.
  • Lead the implementation of energy and water efficiency strategies, including initiatives to improve PUE and WUE.
  • Track, forecast, and analyze energy usage, capacity, efficiency metrics, and costs from a post‑sales perspective, including scenario and sensitivity analyses.
  • Monitor energy consumption data and implement global initiatives to reduce energy use and improve efficiency.
  • Ensure accurate collection, validation, approval, and reporting of energy, capacity, metering, and PUE data in line with global standards.
  • Partner with Site Operations, Engineering, DE&C, Solution Engineering, Finance, and Customer Success to support energy planning, billing, and customer usage insights.
  • Serve as the primary operational point of contact for energy and infrastructure metering, including monitoring customer overconsumption and escalation where required.
  • Provide regular and on‑demand energy reporting, including monthly and annual summaries, and approve all energy and PUE reports.
  • Support compliance with subregional and local energy regulations, ISO 50001 requirements, audits, and internal energy reviews.
  • Lead energy efficiency projects through completion, manage external consultants where applicable, and stay current on industry best practices and emerging technologies.
  • Travel to sites - up to 25%.

Skills

Energy management
Data center infrastructure
Project management
Analytical skills
Communication skills
Reading diagrams

Education

Bachelor's degree in engineering/technical field

Tools

Energy monitoring platforms

Job description

Digital Realty is seeking a Subregional Energy Efficiency Manager to optimize energy and water use across our data center operations in the subregion. This role bridges sustainability strategy with site execution, driving improvements in PUE and WUE, and supports cost-efficient energy planning while collaborating with operations, engineering, finance, and customer teams.

The position requires 7+ years in mission-critical environments, a technical engineering degree, and deep knowledge of data

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