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Data Product Manager Jobs in Virginia (NOW HIRING)

Strategio Inc.

Data & Product Analyst

Mclean, VA · On-site

$100 - $125/hr

As part of a high‑performing team, you will work closely with product managers, engineers, architects, QA teams, and business stakeholders to improve data quality, support governance initiatives ...

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Data Product Manager information

See Virginia salary details

$51.1K

$158K

$195.3K

How much do data product manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data product manager in Virginia is $158,037.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,800.00 and $195,300.00 per year, depending on experience, location, and employer.

What is a data product manager?

A Data Product Manager is a professional responsible for overseeing the development, launch, and management of data-driven products or solutions within an organization. They bridge the gap between technical teams, such as data engineers and scientists, and business stakeholders to ensure that data products meet user needs and drive business value. Their role includes defining product vision, prioritizing features, and ensuring data quality and usability, while also focusing on compliance and ethical considerations regarding data use.

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

A Data Product Manager works closely with data engineers and analysts to define product requirements and ensure data solutions align with business goals. They facilitate communication by translating business needs into technical specifications and prioritize tasks within the team. Regular meetings and agile ceremonies help the Data Product Manager keep everyone aligned, address roadblocks, and incorporate feedback. This close collaboration ensures that data products are both technically robust and deliver real value to end users.

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

To thrive as a Data Product Manager, you need a strong background in data analytics, product management, and business strategy, often supported by a degree in a quantitative field and relevant experience. Familiarity with data visualization tools (like Tableau), SQL, analytics platforms, and agile product management frameworks is typically required. Excellent communication, stakeholder management, and problem-solving abilities help you translate complex data insights into actionable product features. These skills ensure that data-driven products are developed effectively, meet user needs, and drive business value.

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

AspectData Product ManagerData Analyst
Primary FocusDeveloping data products, strategy, and roadmapsAnalyzing data to generate insights and reports
Skills & CertificationsData management, product management, SQL, data visualizationData analysis, SQL, Excel, statistical tools
Work EnvironmentCross-functional teams, product development lifecycleData analysis teams, reporting environments
Industry UsageTech, finance, healthcare, where data products are builtBusiness intelligence, marketing, operations

The main difference is that Data Product Managers focus on creating and managing data products and strategies, while Data Analysts concentrate on analyzing data to provide insights. Both roles require strong data skills, but their responsibilities and objectives differ significantly.

Is being a data product manager considered a stressful job?

Data product managers often face stress due to managing multiple stakeholders, tight deadlines, and the need to deliver data-driven solutions. The role requires strong organizational skills and the ability to prioritize tasks, which can contribute to a high-pressure environment, especially in fast-paced industries.

What are popular job titles related to Data Product Manager jobs in Virginia?

For Data Product Manager jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Data Product Manager jobs in Virginia look for?

The top searched job categories for Data Product Manager jobs in Virginia are:

What cities in Virginia are hiring for Data Product Manager jobs?

Cities in Virginia with the most Data Product Manager job openings:

Data Product Manager jobs near you
Infographic showing various Data Product Manager job openings in Virginia as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $158,037 per year, or $76 per hour.

Data & Product Analyst

Strategio Inc.

Mclean, VA • On-site

$100 - $125/hr

Other

Posted 20 days ago

Key responsibilities

  • Analyze large and complex datasets to identify trends, anomalies, and opportunities across mortgage and product domains

  • Develop dashboards, KPIs, scorecards, and analytical reporting solutions for business and product stakeholders

  • Write and optimize advanced SQL queries, stored procedures, functions, and validation scripts

Job description

Data & Product Analyst

Location: On‑Site, McLean, VA

Opportunity

We are looking for a highly analytical and business‑minded Data & Product Analyst to help drive data‑informed decisions across enterprise product and mortgage operations.

As part of a high‑performing team, you will work closely with product managers, engineers, architects, QA teams, and business stakeholders to improve data quality, support governance initiatives, optimize analytical processes, and deliver actionable insights that directly influence operational and strategic outcomes. This opportunity is perfect for someone passionate about transforming enterprise data into meaningful business value.

About You

You are naturally curious, detail‑oriented, and highly collaborative. You enjoy solving complex data challenges and have a strong ability to bridge technical and business conversations. You are comfortable working in fast‑paced environments where cross‑functional communication, ownership, and adaptability are essential.

You bring deep expertise in SQL and enterprise data ecosystems, combined with strong analytical thinking and stakeholder management skills. You understand how data drives business decisions and can confidently communicate insights to both technical and non‑technical audiences.

Responsibilities
  • Analyze large and complex datasets to identify trends, anomalies, and opportunities across mortgage and product domains
  • Develop dashboards, KPIs, scorecards, and analytical reporting solutions for business and product stakeholders
  • Write and optimize advanced SQL queries, stored procedures, functions, and validation scripts
  • Support ETL/ELT validation processes and enterprise data governance initiatives
  • Contribute to Master Data Management (MDM) framework implementation and maintenance
  • Collaborate with product managers, data engineers, architects, QA teams, and business stakeholders in agile environments
  • Present actionable insights and recommendations to technical and non‑technical audiences
  • Improve data quality, metadata consistency, and reporting accuracy across enterprise platforms
  • Support product analytics initiatives including feature performance, adoption tracking, and operational reporting
Core Skills
  • 8+ years of experience with SQL and relational databases such as SQL Server, Sybase, MySQL, or Snowflake
  • Strong experience with Master Data Management (MDM), ETL/ELT workflows, and enterprise data governance practices
  • Experience developing dashboards, KPIs, scorecards, and analytical reporting solutions
  • Strong understanding of mortgage business processes and enterprise data ecosystems
  • Excellent analytical, problem‑solving, and stakeholder management skills
  • Ability to translate business requirements into scalable data solutions
  • Experience collaborating across product, engineering, QA, architecture, and business teams
  • Strong communication and presentation skills in technical and business environments
Nice‑to‑Haves
  • Experience with Snowflake or modern cloud‑based data platforms
  • Familiarity with Informatica, Talend, or similar ETL/data integration tools
  • Exposure to A/B testing and experimentation frameworks
  • Understanding of data lineage, metadata management, and data quality frameworks
  • Experience supporting product health metrics and feature adoption analysis
  • Prior experience in digital product optimization initiatives

Your job search ends here. If you’re eager to contribute to cutting‑edge projects and want to work with a high‑performance team, apply now.

At Strategio, we are committed to creating a diverse and inclusive work environment where everyone feels valued and respected. We work hard to create a culture of kindness, honesty, and respect, and we are dedicated to creating higher‑performing organizations by addressing the lack of diversity in the workforce. Individuals seeking employment are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability.

We are required to comply with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

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