Senior Manager, Data Engineering

Why Join GEICO ?

At GEICO , we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.

The Senior Manager is responsible for the roadmap, architecture, delivery and operation of data products across our current landscape and build out a data mesh type of architecture focused on business domains.

People and Operating Model:

- Lead a high-accountability engineering team. Set clear ownership, coach technical and product thinking, build succession, and create an inclusive environment where quality and constructive challenge are expected.

- Enable Analytics and AI. Partner on requirements, production-ready datasets, semantic models, and data readiness; keep engineering, analytical interpretation, and AI decision authority clearly separated.

- Support governed self-service. Provide reusable patterns, documentation, coaching, and a controlled path for Agency colleagues to build approved reports and simple workflows.

Measures of Success:

Priority data products meet agreed reliability, freshness, and quality expectations; access reviews and control tests pass; delivery cycle time and repeated preparation decline; reusable patterns are adopted; incidents and recurring defects trend down; Agency teams can reach trusted data faster; and platform value is demonstrated against transparent run and change costs.

Experience and Qualifications :

- Data-platform leadership. Progressive experience leading engineers and delivering production data platforms, pipelines, and shared data products in a complex organization.

- Relevant technical depth. Strong command of Python and SQL, data modeling, orchestration, cloud data architecture, and engineering practices, with meaningful Snowflake and Microsoft Fabric experience or closely comparable platforms.

- Operational discipline. Demonstrated experience with testing, version control, controlled deployment, data quality, observability, lineage, access management, and production support.

Annual Salary

$146,575.00 - $229,600.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.

At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

The GEICO Pledge:

Great Company: Protecting customers through life’s twists and turns with innovation and integrity.

Great Careers: Personalized development programs, mentorship, and certification assistance.

Great Culture: Inclusive and collaborative culture rooted in shared success.

Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.

Originally posted on Himalayas