Machine Learning Solutions Senior Manager
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. 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. 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. 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 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. Requirements BS in Computer Science, Engineering, ML, Data Science, or a related field (preferred MS/MBA or PhD) 10 years of experience of leading the development and integration of large-scale machine learning solutions on cloud (real-time or near-real-time), preferably within the financial services/consulting industry, including 5 years of experience in leadership capacity Strong Problem-solving and collaborative skills to lead cross-functional initiatives and partnering with stakeholders across engineering, product, data and business operations teams. Strong understanding of ML algorithms with experience of executing roadmaps from ideation to end-to-end development and management of ML/AI systems and applications 5 years of experience using Python and SQL Ability to communicate complex technical information (both verbal and written) at all levels and across all parts of the organization Thought leader with deep technical expertise with the proven ability to influence and partner with business to innovate and drive outcomes Ability to thrive with significant autonomy and responsibility and guide the teams Preferred: Working experience in at least two of these functions: Product, Data Science, ML/AI, Data Engineering, Software Engineering. In-depth knowledge of Scrum and agile software development methodology. Target Compensation: A competitive base salary range from $184,354 – $270,386 . This position is eligible for an annual variable bonus of cash and equity, between 15-30%. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting To create an environment where people do their best work, we focus on the dimensions of Organizational Health. All leaders must: Identify the Right People by recognizing top talent Set Clear Expectations by managing change and directing others Train team members and focus on developing talent Performance Manage by ensuring accountability and driving results Create the Right Environment by establishing trust and managing conflict Maintain the Right Number of team members needed to build an effective team Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice ! We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application! P.S . We have great details around our stats, success, history and more. We’re proud of our culture and are happy to share why – let’s talk! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent. Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person’s age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic. California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you. Play the video below to learn more about our Company culture.
