Data and BI Program Manager

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.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.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 + benefitsLearn more about benefits at Google.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.