Senior Technical Program Manager I, Data and Analytics, Finance
Role details
Job location
Tech stack
Job description
- 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.
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Requirements
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., * 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., * 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.
Benefits & conditions
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 aboutbenefits at Google (https://careers.google.com/benefits/) .