Machine Learning Solutions Senior Manager

Credit AcceptanceBaraga Township, MI
115d$184,354 - $270,386

About The Position

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.

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.

Nice To Haves

  • 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.

Responsibilities

  • 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.

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.
  • Flexible work options including work from home, on site and hybrid positions.
  • Company provided technology packages for all Team Members.
  • An atmosphere that is collaborative, challenging, and filled with forward thinking Team Members.
  • Extensive growth opportunities as demonstrated by our track record of promoting internally.
  • Ongoing business training and career development opportunities.
  • Competitive market-based salary with bonus compensation, quarterly profit sharing and annual merit bonuses.
  • Generous PTO and holidays that include 28.5 total days during first full year of employment.
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