Data Engineering Manager

Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. The Data Engineering Manager will lead a team of software and data engineers to build AI/ML models for the insurance industry, participating in high-level design decisions and creating integrated automated processes for a robust ML Ops workflow.

Responsibilities:

• Grow, build, and lead a world-class engineering team
• Participate in high-level design decisions and execute them
• Work closely with data engineering, software engineering, and data science team members to create integrated automated processes that support a robust ML Ops workflow
• Be a technical interface for our client implementation team and partners to implement clients

Requirements:

• 7+ years of experience with data engineering & software architecture in an enterprise commercial setting
• 5+ years managing developers, helping grow their careers and improve their skills, ideally in a hybrid / remote setting
• Strong understanding of data engineering processes and proven track record of facilitating and improving cross team / cross department collaboration
• Familiarity with ML model deployment and ML Ops concepts— enough to partner effectively with data science teams
• Strong experience with cloud technologies, specifically AWS
• Familiar with databases (Postgres, MySQL) and application development (Python, Java)
• Familiarity with orchestration tools (Airflow), big data processing tools (Databricks), and schema management tools
• Experience managing teams across multiple engineering disciplines, including both software and data engineering
• Experience transitioning from client-driven development priorities to product roadmap priorities
• Experience working in Insurtech or on AI/ML products