Head of Planning Automation for Equipment Supply Chain

Head of Planning Automation for Equipment Supply Chain

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corporate_fareGoogleplaceSunnyvale, CA, USA; Kirkland, WA, USA

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA.

Minimum qualifications:

• Bachelors degree in a technical field, or equivalent practical experience.

• 10 years of experience in program management.

• 7 years of experience in leadership roles with/without direct reports.

Preferred qualifications:

• 10 years of experience in technical program management, software engineering, or data architecture driving large-scale system transitions.

• Experience in supply chain data architecture or large-scale enterprise planning engines (e.g., Kinaxis, SAP, E2Open).

• Experience in quantitative methods, applied statistics, data modeling, or operations research to effectively evaluate automated planning algorithms and predictive supply chain models.

• Proficiency in SQL/BigQuery, data schema design, data pipeline (ETL) management, and core troubleshooting.

• Track record of evaluating upstream and downstream software impacts across complex API integrations and distributed databases.

About the job

Googles 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. Youre equally at home explaining your teams 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 various Engineering-specific programs and teams.

In this role, you are a pragmatic visionary leader with exceptional ability to translate long-term infrastructure investment trade-offs into quantitative solvers. You possess the technical sophistication to build the digital frameworks that orchestrate data and insights in the highly complex multi-disciplinary investment of data center equipment planning. You have the technical sophistication to build data flows and process optimization in the AI Era. Within Data Center (DC) equipment planning, you will act as the critical technical translator bridging high-level business planning objectives with complex engineering execution. You will own the technical roadmap to transition our DC equipment planning from current planning solutions, manual, spreadsheet-based workflows into a highly integrated, automated AI-First software ecosystem. You will drive technical architecture across multiple cross-functional teams, perform system-level due diligence, and define foundational data models.

The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

Were the driving force behind Googles groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Evaluate and govern how planning engine core upgrades and logic modifications impact downstream systems and transactional data pipelines. Architect and standardize foundational data schemas, APIs, and ETL pipelines across disparate environments to ensure latent-free, high-integrity data ingest.
• Review complex engineering and database designs to ensure they scale efficiently under global supply chain constraints without causing system latency or performance degradation.
• Harmonize business planning cycles with engineering sprint schedules and deployment freezes to prevent systemic disruptions.
• Architect programmatic, high-performance measurement systems like the Data Quality Index (DQI) using SQL/BigQuery to evaluate automated data-cleansing health (e.g., Site BOM availability, Sourcing Rule integrity).
• Build and scale automated validation frameworks to capture technical risks (such as data ingestion failures or logic anomalies) before code hits production environments.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy.

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 Googles 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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.