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 through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.
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.
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.
Description
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.
Key Responsibilities
Develop and execute a comprehensive platform vision aligned with business goals and customer needs
Create and maintain a clear, prioritized roadmap that balances short-term delivery with long-term strategic objectives
Evangelize the Lakehouse platform across the organization and drive stakeholder alignment
Stay abreast of industry trends and competitive landscape (Databricks, Snowflake, etc.) to inform platform strategy
Lead requirement gathering and product strategy for front-end data tools like Jupyter Notebook and Apache Superset integration
Understand end-to-end AIML operations workflows and how notebooks fit into the broader data ecosystem
Drive data governance initiatives and cross-team collaboration with other data teams
Ensure platform adheres to regulatory, compliance, and data quality standards
Own and partner with engineering on the development of client layers that increase adoption of the Lakehouse compute platform
Define product capabilities for client libraries, templates, and integration frameworks to improve platform accessibility
Conduct customer roadshows and training on compute platform capabilities
Build instrumentation and observability into the client layer to enable data-driven production decisions
Work closely with engineering, design, and data teams to ensure seamless product delivery
Partner with customer success, support, and engineering teams to create clear feedback loops
Translate technical capabilities into business value and user benefits
Drive alignment across multiple stakeholders and teams in complex, ambiguous environments
Qualifications
Required
Strong understanding of data Lakehouse architectures, query engines, and compute frameworks (Spark, Trino, Databricks, Snowflake)
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
Preferred
Previous experience as a software or data engineer is a plus
Strong business acumen to prioritize features based on customer value and business impact
Experience with Jupyter Notebooks and Apache Superset
Knowledge 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 infrastructure
Track record of delivering successful products in fast-paced environments
Experience 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
Bachelor's degree in computer science, engineering, management information systems, or related technical field
MBA/MS or equivalent experience preferred
Annual Salary
$131,200.00 - $229,600.00The 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.
The GEICO Pledge:
Great Company: At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs.
We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success. From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives.
Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind. You’ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.
Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.
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.