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Product Manager Data Analytics Jobs in Washington

Conduct market research, competitive analysis, and stakeholder interviews to gather insights and inform product decisions related to data management. * Prioritize features and initiatives based on ...

Senior Product Manager - Data Products

Bethesda, MD · On-site

$135K - $178K/yr

Conduct market research, competitive analysis, and stakeholder interviews to gather insights and inform product decisions related to data management. * Prioritize features and initiatives based on ...

Define and own the analytics product roadmap, aligning it with company data strategy and business ... Manage the analytics product backlog, running sprint planning, grooming, and retrospectives with ...

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Product Manager Data Analytics information

What are the key skills and qualifications needed to thrive as a product manager data analytics, and why are they important?

To thrive as a Product Manager in Data Analytics, you need a strong background in data analysis, product lifecycle management, and business strategy, often supported by a degree in business, computer science, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and experience with analytics platforms are typically required, and certifications such as Certified Scrum Product Owner (CSPO) can be advantageous. Exceptional communication, problem-solving, and stakeholder management skills help you bridge technical teams and business objectives. These abilities are crucial for delivering data-driven products that meet user needs and provide measurable business value.

How does a product manager data analytics typically collaborate with data scientists and engineers on a project?

As a Product Manager in Data Analytics, you serve as the bridge between business stakeholders and technical teams. You'll work closely with data scientists to define project objectives, ensure that analytical models align with business needs, and prioritize features based on user impact. Collaboration with data engineers is essential for understanding data infrastructure requirements and ensuring reliable data pipelines. Regular communication, sprint planning, and joint problem-solving sessions are core to fostering alignment and delivering successful analytics solutions.

What is the difference between Product Manager Data Analytics vs Data Analyst?

AspectProduct Manager Data AnalyticsData Analyst
Primary FocusOverseeing data-driven product strategies and roadmapsAnalyzing data to generate reports and insights
Skills & CertificationsProduct management, data analytics, SQL, communicationData analysis, SQL, Excel, visualization tools
Work EnvironmentCross-functional teams, product development cyclesData teams, business units, reporting environments
Industry UsageTech, e-commerce, SaaS companiesFinance, marketing, healthcare, tech

Product Manager Data Analytics focuses on guiding product strategies using data insights, while Data Analysts primarily analyze data to produce reports. Both roles require analytical skills and familiarity with data tools, but their responsibilities and scope differ significantly.

What is a product manager data analytics?

A Product Manager Data Analytics is a professional responsible for overseeing the development, strategy, and success of data analytics products or features within an organization. They work at the intersection of business, technology, and data, collaborating with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure analytics solutions meet user and business needs. Their role involves understanding market trends, user requirements, and translating complex data insights into actionable product enhancements. Ultimately, they drive the product lifecycle to deliver value through data-driven decision making.
What are popular job titles related to Product Manager Data Analytics jobs in Washington? For Product Manager Data Analytics jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Product Manager Data Analytics jobs in Washington look for? The top searched job categories for Product Manager Data Analytics jobs in Washington are:
What cities in Washington are hiring for Product Manager Data Analytics jobs? Cities in Washington with the most Product Manager Data Analytics job openings:
Infographic showing various Product Manager Data Analytics job openings in Washington as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior Product Manager - Data Products

Geico

Bethesda, MD

$135K - $178K/yr

Full-time

Posted 18 days ago


GEICO rating

8.0

Company rating: 8.0 out of 10

Based on 360 frontline employees who took The Breakroom Quiz

163rd of 304 rated insurance


Job description

Why Join 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 on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. 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 seeking an accomplished, data-driven, and results-oriented Senior Product Manager for our Enterprise Data Products. This role will continuously monitor advancements in data products, innovation in related industries, competitor solutions, market trends, and best practices to drive a cutting-edge data product portfolio.

As a Senior Product Manager, you will play a key role in shaping the evolution of GEICO's enterprise data strategy. You will be responsible for leading product strategy, driving the development and execution of product roadmaps, and ensuring that our data product solutions meet the needs of our internal stakeholders while driving business outcomes. You will collaborate closely with cross-functional teams, including engineering, data science, analytics, operations, and business leaders to deliver high-impact data products that drive business growth and operational efficiency. You must be comfortable influencing at all levels of the organization.

Job Responsibilities

  • Define and articulate the product vision, strategy, and roadmap for enterprise data platforms in alignment with business goals and technological advancements.
  • Lead cross-functional teams through the entire product lifecycle, from concept to launch and beyond, for data platform solutions.
  • Conduct market research, competitive analysis, and stakeholder interviews to gather insights and inform product decisions related to data management.
  • Prioritize features and initiatives based on stakeholder feedback, business impact, and technical feasibility, making trade-off decisions when needed.
  • Drive product development efforts, including defining requirements, managing backlog, and ensuring timely delivery of high-quality data platform releases.
  • Collaborate with stakeholders across the organization to ensure alignment and drive consensus on key decisions related to data management and governance.
  • Continuously monitor data platform performance, analyze metrics, and iterate on features to optimize user experience and business outcomes.
  • Connect with internal customers to regularly understand their data needs and build long-lasting relationships.
  • Identify options and recommendations, working through trade-offs with other leaders to remove impediments for the team.
  • Oversee product rollout plans, user segmentation, product adoption strategies, and opportunities for promoting data platform solutions.
  • Partner with Technology leaders to influence end-state architecture and drive secure, resilient, performant, and scalable data platform solutions that solve material business problems.
  • Collaborate with legal, compliance, and security teams to develop and implement robust data governance frameworks, privacy controls, and data policies across the enterprise.
  • Ensure that data platform solutions adhere to regulatory requirements, industry standards, and company policies regarding data privacy and security.
  • Drive the implementation of data classification, data lineage, and data access controls within the enterprise data platforms.
  • Develop strategies for metadata management and data cataloging to improve data discovery, understanding, and utilization across the organization.

Basic Qualifications:

  • Bachelor's degree required, preferably in Computer Science, Information Systems, or a related field.
  • 10+ years of experience in product management, with a track record of delivering successful data management or analytics products in a fast-paced environment.
  • Deep understanding of enterprise data platforms, including ETL tools and processes, data quality management, metadata management, and analytical data management.
  • Strong knowledge of data architecture, data modeling, and database technologies.
  • Experience with big data technologies, cloud data platforms, and data governance frameworks.
  • Strong leadership skills with the ability to influence and inspire cross-functional teams.
  • Excellent communication and presentation skills, with the ability to effectively articulate complex data concepts to both technical and non-technical audiences.
  • Proven analytical and problem-solving abilities, with a data-driven approach to decision-making.
  • Experience working with Agile methodologies and tools such as JIRA or Azure DevOps.
  • Passion for innovation, continuous learning, and driving positive change in data management practices.

Preferred Qualifications:

  • Master's degree in Computer Science, Information Systems, or a related field.
  • Certifications in data governance, privacy, or information security (e.g., CDMP, CIPP, CISSP).
  • Experience with data lineage tools and metadata management systems.
  • Knowledge of data ethics and its application in enterprise data management.


Annual Salary

$146,575.00 - $229,600.00

The 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.


At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

The GEICO Pledge:

Great Company:Protecting customers through life's twists and turns with innovation and integrity.

Great Careers:Personalized development programs, mentorship, and certification assistance.

Great Culture:Inclusive and collaborative culture rooted in shared success.

Great Rewards:Competitive pay, benefits, and flexibility to support your well-being and 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.


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About GEICO

Sourced by ZipRecruiter

GEICO is built on ingenuity, perseverance, innovation, resilience, and hard, honest work. From its humble beginnings in the midst of the Great Depression to its current place as one of the most successful companies in the nation, GEICO represents a quintessential American success story. At GEICO, we love that our associates are proud goal-seekers, and that's why we believe in celebrating their milestones and rewarding their achievements. Throughout the year we reward performance and accomplishments, host programs that recognize personal successes, and acknowledge innovation, service, and leadership.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Chevy Chase, MD, US

Year founded

1936