Data Program Manager, Data Strategy

Google LLC
  • Chicago, IL
    7 days ago

    Job Description

    Data Program Manager, Data Strategy

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    corporate_fareGoogleplaceSunnyvale, CA, USA; Chicago, IL, USA

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    Mid

    Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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    XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Chicago, IL, USA.

    Minimum qualifications:

    • Bachelors degree in a quantitative discipline or equivalent practical experience.
    • 7 years of experience in business intelligence, analytics, or quantitative analysis related fields.
    • Experience programming with SQL, and an additional programming language (e.g. with R, Python, JavaScript).

    Preferred qualifications:

    • Master's degree in a technical or business-analytical field.
    • Experience working within Finance domains (e.g., Accounting, FP&A, Treasury) with an understanding of financial compliance and regulatory requirements.
    • Experience in management or technology consulting, leading data strategy or data architecture re-design.
    • Proven track record of managing enterprise data governance or digital transformation projects within a large-scale corporate environment.
    • Familiarity with Google's technology stack for data processing (e.g., BigQuery, Spanner, F1) and Cloud data architecture.
    • Excellent communication skills, with the ability to advocate for data-first thinking to both technical and non-technical executives.

    About the job

    At 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.

    As 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.

    Applying 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.

    Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

    US: $148000 - $214000 (USD) + 15% bonus target + equity + benefits

    Learn more about benefits at Google.

    Responsibilities

    • Partner 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.
    • Own the lifecycle, vision, and roadmaps for core financial data domains, treating datasets and semantic layers as high-value internal data products.
    • Define and execute data roadmaps tailored to feed LLMs, predictive models, and autonomous agents with clean, standardized, contextual financial data.
    • Partner with Finance SMEs and Data Engineering to define unified taxonomies, standardized KPIs, and robust data governance embedding SOX and GDPR compliance.
    • Oversee end-to-end modernization programs, driving trust, literacy, and tool adoption while defining metrics to measure efficiency gains, accuracy improvements, and business ROI.

    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy.

    Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Googles EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

    If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

    Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

    Numbers & Facts

    LocationChicago, IL

    Skills

    • Accountingunmatched
    • Analysis Skillsunmatched
    • Architectural Designunmatched
    • Artificial Intelligence (AI)unmatched
    • Business Intelligenceunmatched
    • Business Strategyunmatched
    • Cloud Architectureunmatched
    • Communication Skillsunmatched
    • DNAunmatched
    • Data Managementunmatched
    • Data Processingunmatched
    • Data Setsunmatched
    • Ecosystemsunmatched
    • English Languageunmatched
    • Equal Employment Opportunity (EEO)unmatched
    • Establish Prioritiesunmatched
    • Financeunmatched
    • Financial Analysisunmatched
    • Financial Complianceunmatched
    • Financial Planning and Analysis (FP&A)unmatched
    • Geneticsunmatched
    • Identify Issuesunmatched
    • Information/Data Security (InfoSec)unmatched
    • JavaScriptunmatched
    • Literacyunmatched
    • Management Consultingunmatched
    • Metricsunmatched
    • Operational Strategyunmatched
    • Performance Metricsunmatched
    • Predictive Modelingunmatched
    • Process Improvementunmatched
    • Product Managementunmatched
    • Product Planningunmatched
    • Programming Languagesunmatched
    • Project/Program Managementunmatched
    • Python Programming/Scripting Languageunmatched
    • Quantitative Analysisunmatched
    • R Programming Languageunmatched
    • Recruiting/Staffing Agencyunmatched
    • Regulatory Complianceunmatched
    • Regulatory Requirementsunmatched
    • Return on Investment (ROI)unmatched
    • SQL (Structured Query Language)unmatched
    • Sarbanes-Oxley Act (SOX)unmatched
    • Stock Purchase Plansunmatched
    • Tax Accountingunmatched
    • Taxonomiesunmatched
    • Treasuryunmatched
    • Use Casesunmatched

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