The Senior Manager of Analytics Engineering leads the delivery of a trusted, scalable analytics foundation that enables analytics teams across Lantern to confidently self-serve insights.
This role owns the quality, consistency, and adoption of enterprise data models in a Databricks Lakehouse, ensuring data is reliable, performant, and aligned to business decision-making.
This is a hands-on leadership role for a builder who enjoys shaping data architecture, defining analytical products, and developing high-performing teams.
Success is measured by data trust, metric alignment, and business impact, making this role ideal for a leader who thrives at the intersection of analytics, engineering, and cross-functional collaboration.

7+ years of experience in analytics engineering, data engineering, or data architecture roles.
3+ years of people leadership or team management experience.
Deep expertise with cloud data platforms (Databricks, Snowflake), dbt (core or Cloud), and SQL-based data modeling.
Strong understanding of working with and protecting sensitive data (PII, PHI, Healthcare) while also allowing analytics use cases to operate without friction.
Proven ability to work cross-functionally with analysts in operations, marketing, finance, and strategy teams to develop high-quality data for analytics.
Strong communication skills with the ability to bridge technical and nontechnical stakeholders.

Senior Manager, Analytics Engineering

Key skills