Data and BI Program Manager

Google LLC; Boulder, Sunnyvale (CO, CA); Hybrid; USD 164,000 - 239,000; Full time

Job summary

Google LLC in the United States seeks a seasoned Senior Technical Program Manager to scale data governance and analytics across REWS. You will drive enterprise data strategies, build AI-ready data models, and govern a broad BI and data-platform ecosystem to support Google’s growth.

You will collaborate with CorpEng, Finance, and REWS leadership to align roadmaps, manage budgets, and lead a high-impact program delivering 190+ dashboards and scalable data solutions.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 7 years of experience in technical program management, business intelligence, or enterprise data operations.
• 7 years of experience managing cross-functional or cross-team projects.
• Experience establishing or maintaining data quality frameworks, validation rules, and trust scoring to prepare data ecosystems for GenAI integration.
• Experience serving as a liaison between business stakeholders, analytics, and engineering teams to define requirements and align technology roadmaps.

Responsibilities

• Lead the execution of Project Strata to transform legacy data tables into star-schema Golden Datasets, canonical metric catalogs, and AI-ready products.
• Oversee strategy and operational governance for the REWS enterprise reporting ecosystem (190+ dashboards) and automate recurring manual processes.
• Direct the Data Quality program and serve as the strategic bridge between business stakeholders, REWS Analytics, and CorpEng Engineering.
• Establish executive KPIs and scorecards while optimizing delivery frameworks, risk management, and global data literacy programs.
• Establishing consistent, scalable horizontal program delivery frameworks across global workplace operations.
• Engaging strategically with executive leadership and cross-functional partners to align technology roadmaps with broader organizational goals.

Skills

Cross-functional leadership

Data governance

BI and data platforms

GenAI integration

Stakeholder management

Project management

Education

Bachelor's degree or equivalent

Tools

ETL pipelines

Enterprise data platforms

Semantic layers

Job description

Google Boulder, CO, USA ; Sunnyvale, CA, USA

The application window will be open until at least October 16, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Boulder, CO, USA; Sunnyvale, CA, USA.

• Bachelor's degree or equivalent practical experience.
• 7 years of experience in technical program management, business intelligence, or enterprise data operations.
• 7 years of experience managing cross-functional or cross-team projects.
• Experience establishing or maintaining data quality frameworks, validation rules, and trust scoring to prepare data ecosystems for GenAI integration.
• Experience serving as a liaison between business stakeholders, analytics, and engineering teams to define requirements and align technology roadmaps.

Preferred qualifications:

• Experience governing project delivery budgets, staffing allocations, and managing external partner SOWs and operations.
• Deep understanding of enterprise data platforms, star-schema golden datasets, semantic layers, and managing large-scale reporting ecosystems and ETL pipelines.

About the job

The Real Estate and Workplace Services (REWS) team creates inspiring spaces and innovative services that bring Google’s culture and values to life. We build and maintain all aspects of what keeps our workspaces operating seamlessly across multiple cities and regions globally. We also manage services that make Google a great place to work—from designing healthy and collaborative workspaces, creating energizing food experiences, and providing convenient transportation and fitness options, to delivering environments where Google and our employees thrive.

Data and technology solutions are essential to achieving our mission; we enable the portfolio to scale efficiently, improve employee experience, and support Google’s growth. Within REWS, the Data, Analytics & Planning (DAP) team is dedicated to ensuring the effective deployment, governance, and scale of technology and data solutions to support REWS' objectives.

• Providing enterprise governance and strategic oversight to dashboard, data pipeline, and operational engineering teams delivering business-critical BI, and data platforms across REWS.
• Designing and scaling an AI-ready enterprise data model (Project Strata), defining canonical KPIs, Golden Datasets (Space, CapEx, Lease, Agreements, Badging), data contracts, and semantic layers for GenAI integration.
• Managing vendor ecosystems and program resources, governing project delivery budgets, staffing allocation, and partner SOWs across DAP initiatives.
• Engaging strategically with executive leadership and cross-functional partners (CorpEng, Finance, REWS Leadership) to align technology roadmaps with broader organizational goals.
• Ensuring operational excellence and continuous optimization for Technical Programs, Data Quality governance (across 9 core domains and 260+ business rules), and self-service analytics enablement.
• Establishing consistent, scalable horizontal program delivery frameworks across global workplace operations.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $164000 - $239000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

• Lead the execution of Project Strata to transform legacy data tables into star-schema Golden Datasets, canonical metric catalogs, and AI-ready products.
• Oversee strategy and operational governance for the REWS enterprise reporting ecosystem (190+ dashboards) and automate recurring manual processes.
• Direct the Data Quality program and serve as the strategic bridge between business stakeholders, REWS Analytics, and CorpEng Engineering.
• Establish executive KPIs and scorecards while optimizing delivery frameworks, risk management, and global data literacy programs.

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 .

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.

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.