Job description

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers. Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs. The Data Center Delivery and Execution (DCDE) team is a collection of Data Center Design, Engineering and Construction experts. This role will ensure the execution readiness and effectiveness across data center delivery. This team works across the sphere of many cross-functional teams, data, policies, and people to align, enable and ultimately serve the build. This program aims to serve the build, by enabling team members that are closest to the sites to comfortably and confidently make real-time, impactful decisions while also getting the support from leadership when escalating issues in accordance with established guidelines. Ensuring projects are confidently delivered for the business while expediting technical directions in accordance with established guidelines/agreements. Ultimately, we want each team member to efficiently channel their efforts into impactful tasks that drive our organizational success. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. 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 . • Collaborate with team members and stakeholders to understand or identify defined work problems and program goals, obtain prioritized deliverables, and discuss program impact. • Prioritize program goals, understand and translate other stakeholders needs into program goals and prioritized deliverables with minimal assistance, and contribute to decisions on prioritizing goals and deliverables. • Review key metrics pertaining to a program, monitor potential metric deviations, and define corrective actions for critical deviations. • Identify, communicate, and collaborate with relevant stakeholders within one or more teams to drive impact and work toward mutual goals. Build, maintain and enhance business, operational, and management dashboards. • Report for leadership consumption on ML progress, mitigations, and learnings. • Bachelor's degree in a technical field, or equivalent practical experience. • 5 years of experience in program management. • 3 years of experience managing Machine Learning programs and building applications. Minimum qualifications: • Bachelor's degree in a technical field, or equivalent practical experience. • 5 years of experience in program management. • 3 years of experience managing Machine Learning programs and building applications. Preferred qualifications: • Master’s degree in Business Administration, Engineering, or a related field. • 5 years of experience working with large-scale mission critical facility’s data center components, machines, and sequences. • 5 years of experience managing cross-functional or cross-team projects.

Requirements

Must-haves

Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.
The Data Center Delivery and Execution (DCDE) team is a collection of Data Center Design, Engineering and Construction experts.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Collaborate with team members and stakeholders to understand or identify defined work problems and program goals, obtain prioritized deliverables, and discuss program impact.
Prioritize program goals, understand and translate other stakeholders needs into program goals and prioritized deliverables with minimal assistance, and contribute to decisions on prioritizing goals and deliverables.
Review key metrics pertaining to a program, monitor potential metric deviations, and define corrective actions for critical deviations.
Identify, communicate, and collaborate with relevant stakeholders within one or more teams to drive impact and work toward mutual goals. Build, maintain and enhance business, operational, and management dashboards.
Report for leadership consumption on ML progress, mitigations, and learnings.
Bachelor's degree in a technical field, or equivalent practical experience.
5 years of experience in program management.
3 years of experience managing Machine Learning programs and building applications.
Bachelor's degree in a technical field, or equivalent practical experience.
5 years of experience in program management.
3 years of experience managing Machine Learning programs and building applications.
5 years of experience working with large-scale mission critical facility’s data center components, machines, and sequences.
5 years of experience managing cross-functional or cross-team projects.

Nice-to-haves

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Master’s degree in Business Administration, Engineering, or a related field.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlmachine learning

Platform: google
Effort: medium