About the job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.

As the Business Analytics and Reporting Lead, you will serve as the strategic investigative engine for the rapidly expanding Greenfield portfolio. You will convert complex project data into actionable, defensive intelligence to drive predictability across cost and schedule baselines. By performing advanced probabilistic risk assessments and leading high-level program health reviews with executive leadership, you will translate raw data into strategic scenarios that guide critical decision-making. You will also act as a vital cross-functional liaison between Finance and Internal Audit, ensuring procedural compliance and implementing automated process improvements to support the increasing scale of global infrastructure operations.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

The US base salary range for this full-time position is $189,000-$274,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Establish and maintain complex analytics comparing design configuration baselines against risk-informed forecasts and industry trends to identify portfolio-level headroom.

• Perform advanced probability analyses to quantify cost/schedule exposure and execute rapid-response data analytics on anomalies to support urgent "what-if" scenario planning.

• Lead the facilitation of monthly program health reviews with executive leadership, translating intricate technical data sets into high-level strategic insights and action items.

• Identify bottlenecks in data workflows to implement automated solutions for scalability, serving as the primary investigative lead for internal audits and procedural compliance.

Minimum qualifications

• Bachelor's degree in Construction Management, Engineering, Data Analytics, Finance, or a related quantitative field, or equivalent practical experience.

• 8 years of experience in program or project management.

• 7 years of experience in project controls, business analytics, or financial planning and analysis for infrastructure or industrial programs.

• 5 years of experience developing and managing construction risk portfolios, including probabilistic cost and schedule assessments.

• 3 years of experience facilitating health reviews or reporting directly for executive-level leadership.

Preferred qualifications

• Experience managing large-scale mission-critical programs within the data center industry.

• Experience in dashboard ideation and the utilization of advanced reporting tools to communicate complex project health metrics.

• Familiarity with construction schedule analytics and tooling (e.g., Primavera P6), and the ability to utilize leading indicators for predictive modeling.

• Understanding of Earned Value Management (EVM), construction cost management, and programmatic cash flow forecasting.

• Ability to identify manual process bottlenecks and implement scalable, automated workflows in a high-growth environment.