EvolutionIQ
Insurance
AnalyticsEngineeringManager
Neural analysis suggests this role is
optimal for Manager candidates.
“Analytics Engineering Manager at EvolutionIQ. Skills: Analytics Engineering, Data Modeling, Team Management. Lead design of data warehouse layers. Develop data warehouse layers”
Industry & Context.
Data modeling; Data architecture
What They're Looking For.
Must Have
5+ years analytics engineering experience, 1-2+ years managing engineers, Expert-level SQL skills, Deep understanding of data warehousing, Proficiency in Python, Familiarity with Git workflows, Familiarity with CI/CD pipelines, Familiarity with data quality testing
Nice to Have
Experience with data orchestration tools, Familiarity with data governance, Familiarity with security frameworks, Familiarity with access control frameworks, Background in high-growth startup
What You'll Do.
Lead design of data warehouse layers
Develop data warehouse layers
Maintain data warehouse layers
Own modern data stack
Optimize modern data stack
Ensure pipeline performance
Ensure pipeline cost-efficiency
Ensure pipeline reliability
Set software engineering standards
Manage analytics engineers
Mentor analytics engineers
Support analytics engineers
Foster continuous learning
Foster psychological safety
Foster technical excellence
Define performance goals
Provide actionable feedback
Manage sprint planning
Manage prioritization
Participate in recruiting
Participate in onboarding
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Partner with Data Science; Partner with Business Analytics; Understand data needs; Translate business logic
Communication Scope
Exceptional communication
Process & Methodology
Sprint planning, Prioritization, Roadmap management
Full Job Description
About EvolutionIQ: EvolutionIQ’s mission is to deliver state-of-the-art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026! The Mission: We are looking for an Analytics Engineering Manager (Tech Lead Manager) to lead and scale our growing Analytics Engineering team. In this role, you will act as a "player/coach"—combining deep technical expertise in data modeling and architecture with a passion for mentoring and managing people. As part of our centralized Data Organization, your team will sit at the intersection of Data Engineering, Data Science, and Business Analytics. You will be responsible for building the robust, scalable data foundation that empowers our analysts to uncover insights and our data scientists to build predictive models, while directly managing the engineers making it happen. Key Responsibilities: Technical Leadership & Execution (60% "Player") Data Architecture & Modeling: Lead the design, development, and maintenance of our centralized data warehouse layers using robust dimensional modeling practices. Tooling & Infrastructure: Own and optimize our modern data stack (MDS), ensuring high performance, cost-efficiency, and reliability across our ingestion, transformation, and orchestration pipelines. Code Quality & Best Practices: Set the standard for software engineering practices within data—including version control (Git), CI/CD, data testing, observability, and comprehensive documentation. Cross-Functional Collaboration: Partner closely with Data Science and Busi
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