Urgent! Senior Product Manager, Data Platform - Lakehouse Job Opening In Chevy Chase – Now Hiring 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 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 required
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.
✨ Smart • Intelligent • Private • Secure
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Unlock Your Senior Product Potential: Insight & Career Growth Guide
Real-time Senior Product Jobs Trends in Chevy Chase, United States (Graphical Representation)
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Great news! GEICO is currently hiring and seeking a Senior Product Manager, Data Platform Lakehouse to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at GEICO adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Product Manager, Data Platform Lakehouse Jobs United States varies, but the pay scale is rated "Standard" in Chevy Chase. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Product Manager, Data Platform Lakehouse typically include Operations Specialties Managers and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Senior Product Manager, Data Platform Lakehouse interview at GEICO, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the GEICO's products or services and be prepared to discuss how you can contribute to their success.
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