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 Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
The Finance Data and Analytics (DnA) team is at the forefront of transforming Google's Finance organization through the power of data and artificial intelligence. Our mission is to organize data, enable insights, and foster a data-driven and efficient Finance function.
The US base salary range for this full-time position is $192,000-$278,000 + 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
- Partner with Finance leadership to define a multi-year data strategy to enable the AI-driven transformation of processes across Google Finance.
- Lead programs to define data standards, taxonomies, and lineage. Ensure controls, security measures, and compliance (e.g., SOX, General Data Protection Regulation (GDPR)) are baked into the data lifecycle.
- Oversee the technical integration of disparate financial systems into a unified single source of truth, reducing data fragmentation and manual reconciliation.
- Manage the lifecycle of enterprise-scale data programs from initial data discovery and modeling to warehouse migration and self-service BI enablement.
- Exercise strong technical judgment to evaluate data modeling choices, storage architectures (lakehouse vs warehouse), and tooling trade-offs to ensure scalability and performance.
Qualifications
Minimum qualifications:
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, a related technical field, or equivalent practical experience.
- 8 years of experience in program management.
- Experience with data modeling, SQL, and ETL/ELT pipelines, and partnering with backend engineering teams.
- Experience leading data migrations, data warehousing, or Master Data Management (MDM) programs.
Preferred qualifications:
- 8 years of experience managing cross-functional or cross-team projects.
- Experience in management or technology consulting, leading data strategy or data architecture redesign.
- Experience working within Finance domains (e.g., accounting, Financial Planning and Analysis (FP&A), treasury) with an understanding of financial compliance and regulatory requirements.
- Track record of managing enterprise data governance or digital transformation projects within a large-scale corporate environment.
- Excellent communication skills, with the ability to advocate for data-first thinking to both technical and non-technical executives.