Senior Manager for ML and AI Solutions at Credit Acceptance. Leading stakeholders to implement large-scale machine learning solutions while ensuring alignment with business objectives.
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.
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.
Benefits
401(K) match
Adoption assistance
Parental leave
Tuition reimbursement
Comprehensive medical/dental/vision
Nonstandard benefits that make us a Great Place to Work
Competitive market-based salary with bonus compensation, quarterly profit sharing and annual merit bonuses
Generous PTO and holidays (28.5 total days during first full year of employment)
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