Senior Manager, Data Engineering

GEICO; Annapolis (MD); On-site; USD 147,000 - 230,000; Full time

Job summary

GEICO in Annapolis is seeking a Senior Manager to lead the roadmap, architecture, delivery and operation of data products across our analytics landscape. You will help build a data mesh style architecture focused on business domains and ensure scalable, governance-aligned data platforms.

You will coach engineers, define ownership, enable analytics and AI, and partner on datasets, semantic models and self-service reporting.

Qualifications

• Data-platform leadership experience in large organizations.
• Proven track record delivering production data platforms and pipelines.
• Strong Python and SQL, data modeling, cloud data architecture.
• Experience with Snowflake or Microsoft Fabric preferred.

Responsibilities

• Own roadmaps, architecture, delivery and operation of data products.
• Lead a high-accountability engineering team.
• Partner on requirements and governance for self-service analytics.
• Provide reusable patterns and coaching for agency reports.

Skills

Data-platform leadership

Lead engineers

Python & SQL

Data modeling

Tools

Snowflake

Microsoft Fabric

Job description

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.

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.

Equal Employment Opportunity

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.