AVP Data Product and Engineering

GM Financial Data Product Manager

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 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
• 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…