Senior Manager, Data Engineering

Rhino + Jetty is making housing more affordable and accessible for millions of renters each year. The Senior Manager, Data Engineering will lead a data team, manage the data pipeline, and collaborate with various teams to align data initiatives with business objectives.

Responsibilities:

• Lead a nimble, high-impact data team of three, including data engineers and analysts, while setting the technical bar and contributing directly to the hardest problems
• Own the entire data pipeline from warehouse to internal dashboards to external reporting, ensuring consistency and reliability across our data stack
• Drive the technical recommendations behind data infrastructure decisions and vendor selections in partnership with the CTO, to support company growth and a self-service analytics culture
• Partner closely with the Risk team to build structured, repeatable insurance reporting processes, including actuarial and bordereau reports
• Consolidate currently siloed analysis across the organization, creating unified reporting standards and data accessibility
• Enable self-service analytics capabilities across the company while maintaining data governance and quality standards
• Collaborate with the CTO and cross-functional teams to own the data roadmap and align it with business objectives and the broader technical roadmap

Requirements:

• Hands-on experience with the full data stack: data warehouses (e.g. Snowflake, BigQuery), dbt, ETL tools (e.g. Fivetran, Stitch, Airflow), and BI platforms (e.g. Tableau, Looker)
• 6+ years building and owning production data pipelines, including experience leading a small data team as a player-coach in a high-velocity environment
• Background in fintech or insurtech with experience maintaining financial product reporting (e.g. actuarial reports, loan tapes)
• Experience managing and mentoring data engineers and analysts while contributing meaningful individual contributor work
• Strong ability to collaborate with cross-functional teams to understand and meet each organization's data needs