Senior Manager - Machine Learning

Salary range is: $ - $. This position is bonus and/or commission eligible.

CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy, creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey.

Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most.

• Partner with product managers and business stakeholders to define technical goals and outcomes for the ML team.
• Coordinate cross-functional collaboration and delivery for ML subrogation initiatives.
• Lead the team to deliver cutting-edge ML features using best-in-class software engineering practices.
• Establish industry-leading standards for ML development and deployment.

• Deep understanding of ML lifecycle: development, evaluation, deployment, monitoring, and iteration.
• Expertise with ML system design, model deployment, and production ML systems.
• Experience in engineering production-grade GenAI features with robust validation, sanity checks, and structured outputs to mitigate hallucination and business risk.
• Proficiency with AWS cloud and MLOps (Sagemaker, Lambda, Step functions, IAM).
• Strong software engineering fundamentals and best practices (CI/CD, Test-Driven Development, Infrastructure as Code).
• Proven ability to build, mentor, and scale high-performing technical teams.
• Experience translating business objectives into technical roadmaps and deliverables.
• Ability to balance technical excellence with business priorities and timelines.
• Excellent communication skills; ability to explain complex technical concepts to non-technical stakeholders, including articulation of AI risks and measures taken to mitigate it.
• Strong stakeholder management and cross-functional collaboration skills.
• 8+ years in ML/Data Science, with 3+ years managing ML/DS teams.

• Experience in subrogation, claims processing, insurance or financial technology.
• Experience in managing teams of 10+ engineers.

• 401K Match
• Paid time off
• Annual Incentive Plan
• Performance Bonus
• Comprehensive health insurance
• Adoption Assistance
• Tuition Reimbursement
• Wellness Programs
• Stock Purchase Plan options
• Employee Resource Groups

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