Sr Analyst - Data & AI Governance Transformation

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Warren, MI, USA
Hybrid
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
We make amazing products people love, for every journey.
The Role
Description
The Finance Data & AI Governance Lead will help General Motors unlock the full value of its Finance big data assets by serving as the business data steward for platforms that drive our Driver-based forecasting transformation, while leading the new Finance Data & AI Governance sustain team.
You will sit at the intersection of data stewardship, transformation project management, and AI governance , ensuring that Finance big data assets are accurately defined, trusted, secure, and ready for advanced analytics and AI agents. You will own the stewardship for key Finance big data assets, operate within GM's Enterprise Data Governance and Data & AI policies, and build a sustainable operating rhythm for data and AI governance across the Future of Finance transformation team.
In this role, you will:
  • Lead stewardship, project management, & governance for Finance big data assets.
  • Stand up and manage the Finance Data & AI Governance sustain team , including routines, metrics, and playbooks.
  • Partner with Finance, IT, Data Architecture, and transformation teams to govern Finance AI agents and Fin360 2.0 use cases.
  • Define, document, and maintain data quality rules and thresholds (accuracy, completeness, timeliness, consistency, validity) across key Finance datasets. Configure automated checks in data quality tooling and partner with data engineering to implement and monitor controls.
  • Collaborate with stakeholders across Finance (CFP&A, SSM, Tax, MFG, GPSC, GPD), IT, Data Architecture, and Enterprise Data Governance to prioritize issues, plan enhancements, and manage trade-offs between speed, risk, and compliance.
  • Prepare and present content for governance forums ; summarizing decisions, documenting actions, and managing escalations.

Qualifications
Basic Required:
  • Bachelor's degree in Finance, Data Science, or related business field with 4+ years of experience in data-focused roles
  • Experience in data governance/stewardship, master data management, business intelligence, and analytics-supporting data operations
  • Skilled in managing data quality for large, complex datasets with basic project management and foundational data engineering knowledge.
  • Self-motivated with strong interpersonal, teamwork, and stakeholder partnering skills

Preferred:
  • Experience with data platforms or financial planning systems such as Databricks, OneStream, Atlan, or similar
  • Understanding of AI governance and Responsible AI concepts (risk classification, guardrails, monitoring, explainability, bias mitigation).

Why Join Us
  • Play a pivotal role in GM's transformation to a data- and AI-driven Finance organization , ensuring our most critical Finance data and AI capabilities are trusted, governed, and sustainable.
  • Lead the sustain model for Finance big data and AI governance, shaping how Finance solutions and future agents are governed, monitored, and improved over time.
  • Work with leaders across Finance, IT, Data Architecture, and Enterprise Data Governance on high-visibility initiatives that influence how GM manages data and AI enterprise-wide.

Location: Hybrid. This role is categorized as hybrid. This means the successful candidate is expected to report to the - Global HQ Warren Mi three times per week, at minimum [or other frequency dictated by the business]
Relocation: This role is NOT eligible for relocation benefits
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIR
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

What the Team is Saying

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General Motors Compensation & Benefits Highlights

  • Healthcare Strength Health coverage spans multiple plan options with medical, behavioral health, dental, vision, prescriptions, and wellness resources, alongside HSAs/FSAs to manage costs. In select regions, ConnectedCare coordinates care to lower premiums and out‑of‑pocket expenses.
  • Retirement Support Retirement funding includes a 401(k) with a 4% company contribution plus up to a 6% match, with a pension option for eligible employees. This structure emphasizes long‑term financial security for many roles.
  • Parental & Family Support Family supports include paid parental leave, substantial vacation and holiday time, backup childcare, and family‑building assistance with a defined lifetime maximum. Mental‑health programs add no‑cost counseling or coaching sessions each year.

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The Company
HQ: Detroit, MI
165,000 Employees
Year Founded: 1908

What We Do

At General Motors, our vision is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all. Our industry and company are undergoing a once-in-a-lifetime technological transformation, which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors, our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward, together. We’re building vehicle software alongside its hardware, hands-free driving that will lead to autonomy, and EVs that charge your home for an all-electric future.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Roles that are categorized as Hybrid mean that the successful candidate is expected to report onsite to the designated facility at least three times per week or other frequency as dictated by the business.

Typical time on-site: 3 days a week
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