Why GM Financial?
GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America, and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses
At GM Financial, our team members define and shape our culture — an environment that welcomes new ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive
Our Purpose: We pioneer the innovations that move and connect people to what matters
This position will be posted until filled
Responsibilities
About the role:
This role leads the strategy, roadmap, and delivery of enterprise data products, leveraging modern cloud technologies to drive business value, analytics, and data-driven decision-making across the organization. The successful candidate will collaborate with senior stakeholders, engineering teams, and vendors to optimize GMF’s data ecosystem, establish performance metrics, and guide the adoption of innovative data management and transformation solutions
In this role you will:
- Develop and lead the data product roadmap to deliver on the overall business development objectives by defining stories and prioritizing the backlog
- Prepare & deliver product strategy, roadmap, and business case opportunities to senior, executive, and customer stakeholders
- Be an expert in Data Software Engineering with modern cloud data technologies and lead vendor and FTE engineering resources
- Guide the product portfolio in the adoption & usage of state-of-the-art data management, transformation, and analytics solutions
- Develop frameworks for repeatable process(es) as it relates to testing, source data remediation etc. that can be leveraged for a cloud data migration
- Understand program objectives and ensure key technology decisions are aligned with these objectives
- Develop a clear understanding of GMF’s data ecosystem - where the data comes from, how it gets processed & stored, and what it's used for
- Guide the product portfolio in the adoption & usage of state-of-the-art data management, transformation, and analytics solutions
- Collaborate with other product and Data Engineering teams on customer & product research activities. Will at times, include customer, market, or industry engagements such as phone calls, customer meetings, webinars, or conferences
- Establish & manage to metrics for product & roadmap outcomes measurement
- Establish and track key performance indicators (KPIs) to measure the effectiveness of engineering initiatives
- Regularly report progress and provide recommendations for improvements to senior leadership
- Act as key liaison/relationship manager across all functional areas, including business units, and outside vendors
- Available to travel internationally for business purposes
What makes You an ideal candidate?
- Significant experience in a large and complex business environment
- Advanced knowledge of data product management best practices
- Strong expertise in cloud technologies, such as AWS, Azure, or Google Cloud, including infrastructure-as-code, containerization, and serverless architectures
- Extensive knowledge of data engineering concepts, tools, and frameworks, including data warehousing, ETL/ELT processes, and data lakes
- Ability to understand and relate business processes from a technical and functional standpoint
- Strategic thinking and planning - Proactive and anticipatory in their thinking
- Implementation experience on large data/digital transformation programs in a public/private cloud ecosystem, with a focus on data-lake and data warehouses
- Experience running technology implementation projects using the Agile/hybrid agile methodologies in large organizations
- Experience gathering business requirements, using industry standard business intelligence tools to extract data, formulate metrics, and build reports
- Ability to interact with staff at all levels
- Excellent writing and speaking skills
- Ability to effectively lead, organize, and supervise
- Ability to work directly with senior level management
- Experience with large data sets and embedded reporting solutions
- Experience with strategic planning, product road mapping, and business case development
- Highly organized and able to prioritize and work to tight deadlines
- Able to simplify and improve inefficient or unnecessarily complex processes
- Ability to be flexible to working locations, working hours and international travel to support a global business
Additional Knowledge and Skills
Working effectively within an AI enabled environment:
- Ability to use AI tools (e.g., Microsoft Copilot) to support daily work
- Skills in evaluating AI outputs for accuracy, compliance, and bias
- Experience integrating AI into workflows to improve efficiency or insights
- Familiarity with AI assisted research, summarization, and content generation
- Understanding of responsible AI use, including ethics and data protection
Work Experience & Education
- 7-10 years of progressively responsible experience in Information Technology required
- 5-7 years of product management in data experience required
- High School Diploma or equivalent required
- Bachelor’s Degree in Information Technology or equivalent experience required
- Master’s Degree management or leadership experience preferred
Working Conditions
- Normal office environment
- Available to travel internationally for business purposes
What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays
Our Culture: Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive
Compensation: Competitive pay and bonus eligibility
Work Life Balance: Flexible hybrid work environment, 3-days a week in Las Colinas/ Irving, TX office
This position is not open to agency submissions
#GMFJobs #LI-Hybrid #LI-MH1
Skills Required
- Significant experience in a large and complex business environment
- Advanced knowledge of data product management best practices
- Strong expertise in cloud technologies (AWS, Azure, or Google Cloud) including infrastructure-as-code, containerization, and serverless architectures
- Extensive knowledge of data engineering concepts, tools, and frameworks including data warehousing, ETL/ELT, and data lakes
- Implementation experience on large data/digital transformation programs in public/private cloud (data-lake and data warehouse focus)
- Experience running technology implementation projects using Agile/hybrid agile methodologies
- Experience gathering business requirements and using business intelligence tools to extract data, formulate metrics, and build reports
- Experience with large data sets and embedded reporting solutions
- Proven ability to develop product strategy, roadmaps, and business cases for senior stakeholders
- Strong leadership, organizational, and communication skills (written and verbal)
- Available to travel internationally for business purposes
- 7-10 years of progressively responsible experience in Information Technology
- 5-7 years of product management in data experience
- Bachelor's Degree in Information Technology or equivalent experience
- Master's degree in management or leadership (preferred)
- Ability to use AI tools (e.g., Microsoft Copilot) and evaluate AI outputs for accuracy, compliance, and bias
- Must be authorized to work without visa sponsorship
GM Financial Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GM Financial and has not been reviewed or approved by GM Financial.
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Strong & Reliable Incentives — Annual and performance bonuses are described as meaningful additions to total compensation. In several functions, incentives reliably boost take-home pay when available.
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Leave & Time Off Breadth — Generous paid time off, corporate and floating holidays, and paid volunteer time are emphasized. Time-away programs contribute significantly to perceived total rewards.
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Parental & Family Support — Paid parental leave and family-friendly policies are highlighted, with recent expansions mentioned in some areas. Support for bonding time is seen as a notable strength of the package.
GM Financial Insights
What We Do
GM Financial is the captive finance company and the wholly owned subsidiary of General Motors and is headquartered in Fort Worth, Texas. The company is a global provider of auto finance solutions, with operations in North America, Latin America and China. Through our long-standing relationships with auto dealers, we offer attractive retail loan and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses. GM Financial employs more than 9,000 hard-working team members, and we're always looking for new people with diverse talents. GM Financial is a workplace where dedicated people have the opportunity to work together and celebrate our successes. Our culture is based on respect, integrity, innovation and personal development. GM Financial is committed to strengthening the communities where we live and work. Each year, we select several philanthropic organizations to support through our Signature Events program. The company and its team members actively support these organizations through many company-wide initiatives; in addition we support numerous other nonprofit organizations through sponsorships and monetary donations.
