{"id":2525088,"url":"https://alion.io/job/google-data-program-manager-data-strategy","title":"Data Program Manager, Data Strategy","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":75,"open_postings":116,"ghost_share":0,"stale_share":0.983,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Management","role_family":"Management","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":94000,"max_usd":227000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2531},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"GDPR","optional":false},{"name":"JavaScript","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"BigQuery","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Google Cloud Spanner","optional":true}],"status":"live","first_seen_at":"2026-10-14T10:11:24Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T00:17:59Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the job\nAt Google, data drives all of our decision-making. As part of the Finance Data and Analytics (DnA) team, you will drive programs that empower Finance with trusted and secure data that is governed and easily discoverable. This work is high-stakes: Finance data is among the most sensitive at Google, and is created and consumed in different shapes and configurations both across Finance and within every other Business Area.\nAs a Data Program Manager on the Finance Data and Analytics team, you will serve as the strategic bridge between Google Finance business teams and technical data capabilities. Your primary focus will be immersing yourself in the operational and strategic needs of the Finance organization to architect a modern, AI-ready Data Strategy.\nApplying a Data Product Management lens, you will treat financial data domains as scalable products discovering user pain points, defining product roadmaps, and prioritizing capabilities that unlock value. You will lead high-impact programs that translate complex financial workflows into data initiatives and identify agentic use cases that drive true process transformation across Google Finance. By orchestrating execution across Finance and Engineering, you will ensure our data ecosystem is structurally sound and primed for the future of agentic AI.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $148000 - $214000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nPartner deeply with Finance units (FP&A, Treasury, Tax, Accounting) to map end-to-end workflows, diagnose friction, and translate challenges into clear data and product requirements.\nOwn the lifecycle, vision, and roadmaps for core financial data domains, treating datasets and semantic layers as high-value internal data products.\nDefine and execute data roadmaps tailored to feed LLMs, predictive models, and autonomous agents with clean, standardized, contextual financial data.\nPartner with Finance SMEs and Data Engineering to define unified taxonomies, standardized KPIs, and robust data governance embedding SOX and GDPR compliance.\nOversee end-to-end modernization programs, driving trust, literacy, and tool adoption while defining metrics to measure efficiency gains, accuracy improvements, and business ROI.\nQualifications\nMinimum qualifications:\nBachelor's degree in a quantitative discipline or equivalent practical experience.\n7 years of experience in business intelligence, analytics, or quantitative analysis related fields.\nExperience programming with SQL, and an additional programming language (e.g. with R, Python, JavaScript).\nPreferred qualifications:\nMaster’s degree in a technical or business-analytical field.\nExperience working within Finance domains (e.g., Accounting, FP&A, Treasury) with an understanding of financial compliance and regulatory requirements.\nExperience in management or technology consulting, leading data strategy or data architecture re-design.\nProven track record of managing enterprise data governance or digital transformation 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