Machine Learning Solutions Senior Manager

Overview

Credit Acceptance is proud to be an award-winning company with local and national workplace recognition in multiple categories! Our world-class culture is shaped by dedicated Team Members who share a drive to succeed as professionals and together as a company. A great product, amazing people and our stable financial history have made us one of the largest used car finance companies nationally.

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 are seeking a highly motivated and experienced Leader of ML and AI Solutions within AI team to join our dynamic team. The ideal candidate will have a strong technical background in decision science, machine learning, and generative AI with a proven track record in solving business problems and implementing large-scale automated solutions in partnership with the respective engineering teams. The leader will partner with business and engineering stakeholders to formulate the vision to achieve company’s strategic goals and co-lead the roadmap to deliver innovative solutions for dealers, consumers and team members.

• 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.
• Engage with the internal and external stakeholders to understand the business needs, align with them on potential solutions and roadmaps, prioritization, execution and management
• Manage the technical roadmap of business objectives-oriented ML and AI initiatives and manage the performance and value creation through those initiatives
• Work closely with the ML/AI and platform engineering teams to translate business requirements into technical specifications and ensure alignment on priorities.
• Proactively explore data to find underlying trends and newer opportunities for business, and partner with stakeholders to understand the evolving customer needs, industry trends, and the competitive landscape to conceptualize new solutions to bring value to our customers
• Define and monitor key performance indicators (KPIs) to measure the success of AI/ML products and drive continuous improvement.

• 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 customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions.
• One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively.
• Owner’s Mindset:
  Owner’s Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business.

• BS in Computer Science, Engineering, ML, Data Science, or a related field…