Role Description

This is an exciting opportunity for a blended role for Manager, Data Science within our Data Product space. The Manager Data Science is responsible for architecting, building, and deploying production-grade machine learning models, AI solutions, and data products while leading a team of advanced data professionals. This is a highly technical, hands-on role that requires a combination of strong experience developing scalable solutions and zero to one product launch moving them from concept through production. This role requires hands-on technical contribution and is not solely an oversight function.

The ideal candidate has demonstrated experience building data products and operationalizing machine learning within a cloud environment such as Azure, AWS, or similar platforms. This role requires comfort working with modern data architectures, integrating data pipelines, and managing the full lifecycle of models and AI applications. This individual has expertise in machine learning, statistical modeling, and data visualization to translate business needs into actionable insights. You will guide a team in applying best practices for model assessment, feature engineering, and scalable deployment while collaborating across business functions to ensure alignment with organizational goals.

The position works closely with key business stakeholders and development teams and operates within the full software development lifecycle to deliver secure, reliable, and maintainable solutions. This individual is expected to contribute directly to technical design, development, and deployment efforts while ensuring best practices across architecture, performance, and model lifecycle management.

This position is open to remote or hybrid.

Qualifications

• Strong technical expertise in machine learning and AI solution development
• Experience building and deploying data products in production environments
• Hands-on experience with cloud platforms such as Azure, AWS, or similar ecosystems
• Familiarity with ML lifecycle management, data pipeline orchestration, and production support
• Solid understanding of software engineering principles and development workflows
• Ability to write, review, and optimize Python and SQL code
• Deep understanding of Large Language Model (LLM) orchestration, specifically how to build "Agents" that can reason, use tools, and execute workflows autonomously
• Knowledge of Retrieval-Augmented Generation (RAG) patterns, including how to manage embeddings, vector indexing, and the "chunking" of unstructured data for AI consumption
• Excellent written and verbal communication skills; ability to translate complex models to business users and demonstrate value
• Excellent presentation skills

Requirements

• Bachelor’s or Master’s degree in a relevant field (e.g., Data Science, Information Systems, Computer Science, Business, or related discipline). Master’s degree preferred
• 7+ years of hands-on experience in data science, ideally in a data product capacity in banking/finance, insurance or a related field
• 5+ years of demonstrated experience leading teams and driving enterprise-level change initiatives

Benefits

• Comprehensive benefits package for full-time regular employees including:
• Medical (HDHP) w/Pharmacy
• Dental
• Vision
• Long Term Disability
• Health Savings Account
• Flexible Spending Account Options
• Life Insurance
• Accident Insurance
• Critical Illness Insurance
• Pre-paid Legal Insurance
• Parking and Transit FSA accounts
• 401K
• ROTH 401K
• Paid time off

Company Description

CorVel, a certified Great Place to Work® Company, is a national provider of industry-leading risk management solutions for the workers’ compensation, auto, health and disability management industries. CorVel was founded in 1987 and has been publicly traded on the NASDAQ stock exchange since 1991. Our continual investment in human capital and technology enable us to deliver the most innovative and integrated solutions to our clients. We are a stable and growing company with a strong, supportive culture and plenty of career advancement opportunities. Over 4,000 people working across the United States embrace our core values of Accountability, Commitment, Excellence, Integrity and Teamwork (ACE-IT!).