GEICO is going through a massive digital transformation to re-platform the Insurance industry, removing friction across Customers, Partners, Marketplace, Segments, Channels, and Experiences as we grow our reach and market share. The Manager, Data Engineering will lead the Data Engineering teams efforts enabling data ingestion and analytics across the department and with external partners including rapid advancement in team skills, capabilities, and infrastructure.
Requirements
- Proficiency in data engineering tools and technologies such as SQL, Python, Snowflake and cloud platforms (specifically Azure).
- Significant experience with Microsoft Power Platform, specifically Power BI and Power Apps.
- In-depth knowledge of data warehousing, ETL processes, and data modeling.
- Proven experience as a Senior Data Engineer or in a similar role.
- Experience in data engineering within auto insurance or P&C insurance generally.
- Claims systems, processes, and procedures.
Responsibilities
- Oversee the design, development, and maintenance of scalable data pipelines and ETL processes.
- Ensure data quality, integrity, and security across all data systems.
- Drive the implementation of best practices in data engineering and stay updated with the latest industry trends.
- Monitor and optimize data infrastructure performance, identifying and resolving any issues.
- Provide technical leadership and contribute to the strategic direction of the data engineering team.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
Other
- Lead and manage a team of data engineers, providing guidance, mentorship, and support.
- Strong leadership skills with experience in managing teams, preferably as a senior analyst team leader or manager.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
- Strong communication and collaboration skills including effective written and verbal communication.
- Ability to lead and manage multiple projects to completion.
- Management experience with direct reports in a data engineering environment.
- Collaborates cross-functionally to make decisions and communicate them effectively in a highly complex environment with numerous stakeholders and tradeoffs to be considered.
