Technical Program Manager, Machine Learning PMO, Data Centers

Technical Program Manager, Machine Learning PMO, Data Centers Locations:

Google Place, New York, NY, USA

Reston, VA, USA

Experience Level: Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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.

About the Job 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: $163,000 - $236,000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• 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.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc.

Alphabet

Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.