[Hiring] Senior Manager, Data Engineering @Rhino

Role Description

The Senior Manager, Data Engineering will be a key member of R + J’s Technology team and will report directly to the CTO. This is a tech lead manager role, you will be responsible for both managing a small team and building while setting technical standards. We think of the split as roughly 60% hands-on engineering and 40% leading.

In this role, you will:

• 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.

Qualifications

• 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.

Benefits

• Base Salary Range: $160,000 - $210,000.
• Competitive cash compensation package including base salary, milestone based bonus, and other financial perks.
• Medical, Dental, and Vision coverage (up to 90% employer contribution) - eligible from your start date.
• 401(k), HSA, Life & Disability Insurance Coverage ($0 employee contribution for additional insurances).
• Unlimited PTO Policy.
• Generous Paid Parental Leave.
• Stock option plan to give our employees a direct stake in R + J’s success.
• Remote-first work culture with opportunities to collaborate as a team in person.
• Monthly lifestyle stipend to fit your needs (meals, wellness, co-working).