Technical Program Manager, Engineering Change Management
Google· Internet & Cloud Services· Aug 11, 2026 · 3mo agoPosted 77 days ago
Sunnyvale, CA, USA · Atlanta, GA, USA · Austin, TX, USA · Boulder, CO, USA · Kirkland, WA, USA · New York, NY, USA · Reston, VA, USA · Seattle, WA, USA
In office
Full-time
Senior
$150K–$200K est.
5+ years exp
Before you apply
Ghost Signal:
Open 77 days.
Job description
A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
The focus of the Engineering Change Management (ECM) team is to standardize and streamline Engineering Changes across Google's Data Centers, ensuring efficient project execution, cost control, schedule adherence, and alignment with strategic goals. As an ECM Technical Program Manager at Google, you will use your program management expertise to lead complex, cross-functional initiatives from start to finish. You will work with stakeholders to plan requirements, identify risks, manage workflows, and communicate clearly with cross-functional partners across the company. You are equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical scope of engineering changes with project managers.
The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are an upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .
• Partner with multiple Data Center and Google Cloud teams to manage and report on several simultaneous workstreams.
• Track status of varied workstreams and provide reports, notifications, and presentations on specific, regional, and global levels.
• Build workflows and data frameworks that scale.
• Manage partner team data input mechanisms, seeking to automate and make systematic wherever possible.
• Sustain a continuous improvement approach including ability to solicit feedback, identify and present process improvements and change management ideas.
• Bachelor's degree in engineering, construction management, architecture, project management, or equivalent practical experience.
• 5 years of experience as a project manager on projects and programs.
• 5 years of experience using spreadsheet tools for ad-hoc data analysis, data input, and reporting in a technical or business context.
• Experience in data center design and construction, or similar industries.
Minimum qualifications:
• Bachelor's degree in engineering, construction management, architecture, project management, or equivalent practical experience.
• 5 years of experience as a project manager on projects and programs.
• 5 years of experience using spreadsheet tools for ad-hoc data analysis, data input, and reporting in a technical or business context.
• Experience in data center design and construction, or similar industries.
Preferred qualifications:
• Master’s degree in engineering, construction management, architecture, or project management.
• Professional experience in Change Management, and a PMP certification or similar.
• Experience building data architecture using SQLite, PostgreSQL, or comparable platforms, and experience with Looker Studio or other data visualization platforms.
• Proficiency with AI and the ability to effectively, efficiently and ethically interact with AI systems to achieve desired outcomes, and experience managing AI program rollouts to decrease workload for repeatable tasks.
• Ability to read and interpret building and system engineering drawings and specifications for data centers to assess the impact of change.
Application prep
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