Senior Product Manager, Data Platform
1 week ago
GEICO . For more information, please . **Description**GEICO is looking for an accomplished, customer-obsessed, and results-oriented Senior Product Manager to lead our Data Lakehouse platform. This role will drive strategic direction for our Lakehouse infrastructure, focusing on both front-end analytics and compute client capabilities. The ideal candidate will have a strong technical background in data platforms and a proven track record of delivering complex, scalable solutions.As a Senior Product Manager for the Data Lakehouse platform, you will be responsible for defining and executing the product vision for GEICO's data lakehouse products. You will work across two key areas: 1) front-end analytics platform supporting services like Jupyter Notebooks and Apache Superset and 2) the compute client and integration layer. This role requires deep technical understanding of data platforms and lakehouse architectures, strong stakeholder management skills, and the ability to bridge technical solutions with business value.Translate technical capabilities into business value and user benefits Experience building APIs, SDKs, or client integration layers for large-scale platforms Familiarity with instrumentation, telemetry, and observability practices Experience in cloud data ecosystems (Snowflake, AWS, GCP, Azure) Proven analytical and problem-solving abilities with a data-driven approach to decision-making Experience working with Agile methodologies and tools (JIRA, Azure DevOps) Excellent communication, stakeholder management, and cross-functional leadership skills Exceptional organizational skills with proven ability to manage complex backlogs Previous experience as a software or data engineer is a plusExperience with Jupyter Notebooks and Apache SupersetKnowledge of data governance frameworks and compliance requirements Insurance industry experience **Experience**Minimum 7+ years of technical product management experience with data platforms, developer tools, distributed systems, or data infrastructureExperience managing complex, multi-stakeholder initiatives Proven ability to work with technical teams and translate business requirements into technical product specifications Experience with customer research, user interviews, and data-driven decision making **Education**MBA/MS or equivalent experience preferred * Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.* Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.* Access to additional benefits like mental healthcare as well as fertility and adoption assistance.* Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.For more than 75 years, GEICO has stood out from the rest of the insurance industry We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.
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Senior Product Manager, Data Platform
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Chicago, United States GEICO Full timeSenior Product Manager, Data Platform - Lakehouse Join to apply for the Senior Product Manager, Data Platform - Lakehouse role at GEICO This range is provided by GEICO. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base Pay Range $131,200.00/yr - $229,600.00/yr About GEICO At GEICO, we offer a rewarding...
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Chicago, United States GEICO Full timeProduct Manager, Data Platform Data Ingestion and Movement Join GEICO as a Product Manager responsible for the data ingestion and movement platform. This role will help drive product direction for data ingestion, ETL/ELT pipelines, and data movement services, focusing on enabling reliable data flow into our lakehouse and other data stores. The ideal...
