VP Cloud Data Analytics Architecture

Location: Arlington, TX, United States; Hybrid

Why GM Financial Technology?

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.

This VP Cloud Data Analytics Architecture is responsible for the leadership and direction of the Enterprise Cloud Data Analytics Architecture, tools and platforms teams. This team will work with the business to gather data and analytical requirements; design, develop and deploy Enterprise Cloud Data solutions; integrate data from disparate sources to load to the cloud, hybrid and multi-cloud; design, develop and monitor processes to transfer data between cloud systems and/or external vendors; collaborate with technical leaders to define api-first, web services, event based processes to maintain accuracy, lineage, metadata, integrity and efficiency of data across multiple levels of curation and consumption; provide data modeling standards, frameworks and templates to support the business; organize, catalog and define enterprise data to support AI, Machine Learning, Data Science and Reporting. This leader will scale the Data and Analytics organization globally.