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At GEICO Technology Solutions, we are on a journey to revolutionize the Insurtech space with our technology offerings in the Insurance market and provide excellent service with better efficiency to our Customers and Associates. To achieve our vision and mission, we are focusing on transforming our existing tech to deliver products and capabilities that are marketplace ready and are agnostic of the Line of Business or the Channel utilized. We’re seeking a Senior Manager of Data Engineering to lead the evolution of our Claims Data Platform. This is a high-impact leadership role where you’ll manage our current database operations while architecting and building the next generation of data infrastructure. You’ll work at the intersection of technology and business, partnering with development teams, claims operations, and analytics to ensure claims data flows seamlessly across the enterprise. This position sits within the Claims organization, embedded directly in the business unit that owns a significant dataset in the enterprise. You'll operate with the full context of claims operations, regulatory requirements, and business priorities, not as a centralized service, but as an integral part of how Claims technology delivers value. Your mission: Transform how our organization consumes and publishes claims data - from legacy to a modern, event driven scalable data platform with self-service APIs and robust data pipelines.
Job Responsibility:
Build and maintain scalable data pipelines using modern orchestration tools
Implement data quality frameworks, monitoring, and alerting
Create self-service data products that reduce time-to-insight for business users
Collaborate with Architecture, Security, and Compliance teams on data governance
Champion data engineering best practices: version control, CI/CD, infrastructure-as-code
Partner with Analytics and Data Science teams to deliver ML-ready datasets
Report to leadership on platform health, roadmap progress, and strategic opportunities
Requirements:
10+ years of progressive experience in data engineering, database administration, or data platform development
4+ years of people management experience leading technical teams (5+ direct reports)
Proven track record of building and scaling data pipelines in production environments
Experience managing enterprise database platforms (Oracle, PostgreSQL, or equivalent)
Deep expertise in relational databases (Oracle, PostgreSQL, MSSQL)
familiarity with NoSQL (MongoDB, Cassandra)
Working knowledge of Kafka, Kinesis, or Pulsar for real-time data streaming
Strong experience with Azure or AWS, data services
Hands-on experience with Snowflake, BigQuery, Redshift, or Databricks
Proficiency with Apache Airflow, dbt, or similar orchestration tools
Solid coding skills in Python, SQL
familiarity with Spark/PySpark
Experience designing and building RESTful APIs and data services
Bachelor’s degree in computer science, Information Technology, or related field
Nice to have:
Insurance/Claims Domain: Experience with Guidewire, Duck Creek, or similar claims management systems
Data Governance: Familiarity with data cataloging, lineage, and master data management tools