Google

Data and BI Program Manager

Google • $164K — $239K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 7 years in technical program management, business intelligence, or enterprise data operations.
  • 7 years managing cross-functional or cross-team projects.
  • Experience with data quality frameworks and GenAI integration.
  • Liaison experience between business stakeholders, analytics, and engineering teams.

Responsibilities

  • Lead Project Strata to transform legacy data into AI-ready products.
  • Oversee governance for the REWS enterprise reporting ecosystem and automate processes.
  • Direct the Data Quality program, bridging business and engineering teams.
  • Establish executive KPIs and optimize delivery frameworks and data literacy programs.

Benefits

  • Comprehensive health and wellness programs.
  • Generous paid time off and holidays.
  • Retirement savings plans with company matching.
  • Access to professional development resources.
  • Flexible working location options.
Full Job Description
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

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 .

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.


About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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