At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation.
Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact.
Outcomes and Activities:
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 framework that embeds engineering discipline
Become an expert in the business process domain to better support the business and align technologies with the business outcomes
Work with the engineering leadership team to develop and execute on the company’s technical and business strategy
Conduct impact analysis to proactively identify impact of a change across multiple applications/systems
Perform technical due diligence and architectural assessments of third-party technologies and solutions.
Experiment and test ideas, validate assumptions against needs, reach conclusions and recommend solutions
Document standards, best practices, and engineering artifacts so others can easily understand, build and maintain best in class software systems
Debug the critical problems which arise in production and execute effective solutions within the application and across multiple applications/systems
Lead continuous learning and process improvement activities to improve design and overall engineering practices
Grow talent by participating in hiring and mentoring team members
Competencies:
Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer’s shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience.
Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights…