Why GM Financial?

GM Financial is set to change the auto finance industry and is leading the path with embarking on tech modernization we have a startup mindset, preserve our small company culture, in a public company environment with financial stability and intense growth over a decade long history. We are data junkies and trust in data and insights to advance our business objectives.

We take our goal of zero emission, zero collision, zero congestion and zero friction very seriously. We believe as the auto finance market leader we are in the driver seat to lead us in the GM EV mission to change the world.

We are building global platforms, LATAM, Europe, China our high performing talent needs a high performing leader. GMF is comprised of over 10,000 team members globally. Join our fin-tech culture within a Blue-Chip company where we are changing the way we use technology to support our customer and business.

About the role:

As the AVP Data Product and Engineering , you are responsible for leading a team of Product Analysts and Engineers in the creation and execution of the product strategy and execution around data. In addition, the AVP will also be responsible for maintaining a Business Relationship Management with all operational line leaders in the geographies that GMF conducts business. GMF data assets are rich in content and valuable information required to deliver business value for our internal customers. Stewarding data-as-a-product & helping to solve top problems for our customers with integrated analytics will be your top priority.

In this role, you will:

• Develops and leads 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
• Perform other duties as assigned
• Conform with all company policies and procedures

What makes you a dream candidate?

• Significant experience in a large and complex business environment
• Advanced knowledge of data product management best practices
• Ideally have fluency in Spanish
• 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 be flexible to working locations, working hours and international travel to support a global business

Experience

• Bachelors Degree in Information Technology or equivalent experience required
• 7-10 years of progressively responsible experience in Information Technology required
• 5-7 years product management in data required
• 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

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. We have an environment that welcomes new ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than. work we thrive.

Compensation : Competitive salary and bonus eligibility; this role is eligible for company vehicle program.

Work Life Balance : Flexible hybrid work environment, 3-days a week in office

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