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Director, Data Platform

Remote / Online - Candidates ideally in
Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Credit Acceptance
Remote/Work from Home position
Listed on 2026-09-30
Job specializations:
  • IT/Tech
    Data Engineering, Data Science Manager, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 180000 - 280000 USD Yearly USD 180000.00 280000.00 YEAR
Job Description & How to Apply Below

Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country.

Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions.

We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture!

We're seeking a Director of Data Platform to provide technical and architectural leadership within the data engineering organization. In this role, you'll champion to build out modern data platform cross the data space that is critical to enable business growth with AI at scale at Credit Acceptance. As a director, you'll be responsible for leading the technical vision, strategy, architecture, and execution of modern data platform, collaborating both within the data team and outside to ensure successful deliveries in production, representing the data team in various technical forums across engineering to contribute the success at the ecosystem level.

The ideal candidate brings 15+ years of engineering experience with significant depth in data technology, cloud, and AI. You'll serve as both a hands‑on technical leader and a strategic advisor, helping to establish robust, scalable foundations that enable innovation across the organization.

Outcomes and

Activities:
  • This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member.
  • Develop and drive the long‑term vision for enterprise data platforms and architecture, ensuring alignment with business growth and AI success
  • Formulate and implement data platform strategy across the data space including but not limited to big data, real time, transaction/operational, governance, that transform the way how we work with data in the era of AI
  • Oversee the architecture, design and development of scalable data platform that enable self‑serve success with various use cases across the company by taking a platform and AI first approach
  • Ensure solid production success that meets business need and speed, establish strong finops discipline with timely and insightful info to continuously optimize our economics including forecast, runtime and "showback" to the business
  • Effectively communicate data technologies, strategies, roadmap and progress to executive leadership and stakeholders, ensuring alignment with the firm's broader vision and goals.
  • Stay ahead of industry trends and emerging technologies, translating them into actionable initiatives to drive innovation and maintain the firm's market leadership.
  • Build strong engineering organization and foster solid engineering discipline by leading with examples and mentoring team members
  • Collaborate both with the data team and cross engineering on technology and architecture strategy and decision
  • Exemplify technical innovation and contribute to critical system design, implementation and operation success
  • Formulate technology and architecture decision…
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