Data and BI Program Manager
- Pay
- $164,000 – $239,000 per year
- Location
- Boulder, CO
- Job type
- Full-time
- Level
- Lead / Staff
- Experience
- 7+ years
- Education
- Bachelor's degree
- Listed
- 28 days ago
Skills & highlights for this role
- technical program management
- data quality frameworks
- cross-functional project management
Also useful
- star-schema data modeling
- ETL pipelines
- semantic layers
About the role
- Data and BI Program Manager share
- Share Data and BI Program Manager corporate_fare
- Google place
- Boulder, CO, USA
- ; Sunnyvale, CA, USA bar_chart
- Advanced
- Apply info_outline
- X
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.
Minimum 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.
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.
Benefits
US: $164000 - $239000 (USD) + 20% bonus target + equity + benefits:
Learn more about benefits at Google.
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.
- Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
- 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.
Equal opportunity and legal notices
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.
From Google's careers page, first listed on Rolev.ai on October 12, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Data and BI Program Manager role at Google?
The Data and BI Program Manager posting at Google states compensation of $164,000 – $239,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Google's official career site.
Where is the Data and BI Program Manager job at Google located?
This Data and BI Program Manager position at Google is located in Boulder, CO. Always check Google's application page for specific state eligibility or relocation policies.
What qualifications are required for Data and BI Program Manager at Google?
For the Data and BI Program Manager role, Google highlights 7+ years of relevant experience; a bachelor's degree; experience with technical program management, data quality frameworks, cross-functional project management. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Data and BI Program Manager position at Google?
This listing links directly to Google's application page. You can apply directly on Google's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.