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Product Manager Data Analytics Jobs in Virginia (NOW HIRING)

... product managers to deliver a product customers love. Leverage a broad stack of technologies ... performing data analytics. * In lieu of a bachelor's or foreign equivalent degree in the ...

... product managers to deliver a product customers love. Leverage a broad stack of technologies ... performing data analytics. * In lieu of a bachelor's or foreign equivalent degree in the ...

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Product Manager Data Analytics information

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.

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 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.

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.

Do product managers do data analysis?

Product managers often perform data analysis to inform product decisions, track performance metrics, and understand user behavior. They use tools like SQL, Excel, or analytics platforms to interpret data and prioritize features, but they typically collaborate with data analysts or data scientists for complex analysis. Strong analytical skills are valuable in this role to support data-driven decision-making.

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

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

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

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

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

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

Infographic showing various Product Manager Data Analytics job openings in Virginia as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Senior Product Manager (Data Science TS/SCI) with Security Clearance

VivSoft Technologies

Springfield, VA โ€ข On-site

$122K - $162K/yr

Other

Medical, Dental, Life, Retirement, PTO

Re-posted 14 days ago


Job description

About VivSoft
VivSoft is a mission-driven technology company specializing in Cloud, DevSecOps, Artificial Intelligence, and Digital Experience. We are a diverse team of innovators focused on creating open, scalable, and automated solutions that drive digital transformation in federal space. Our work culture fosters collaboration, creativity, and continuous learning. Position Overview
The Senior Product Manager / Data Science for the NGA AI/ML Program serves at the intersection of advanced analytics, machine learning, and mission-driven product strategy. This role operates at the forefront of AI and deep learning technologies, enabling transformational outcomes within the National Geospatial-Intelligence Agencyโ€™s Digital Intelligence Environment (DIE). Key Responsibilities
As a Senior Product Manager / Data Scientist on the NGA AI/ML Program, you will:
* Analyze large, complex datasets to identify patterns, trends, and insights that improve NGA mission capabilities.
* Work collaboratively within multidisciplinary teams to solve complex, interdependent analytical and operational challenges.
* Identify high-value data sources and automate data collection, ingestion, and mining processes.
* Perform preprocessing and feature engineering on structured and unstructured datasets.
* Translate analytical findings into actionable product insights and recommendations.
* Provide strategic guidance on the applicability and direction of industry-standard AI/ML solutions.
* Contribute specialized expertise to define near- and long-term product milestones and roadmaps.
* Monitor model and product performance, supporting continuous improvement and long-term planning.
* Evaluate organizational operational and functional baselines using data-driven and industry best-practice approaches.
* Participate in account strategy sessions, technical reviews, and design reviews to validate enterprise AI/ML approaches.
* Stay current with emerging AI/ML technologies, research, tools, lessons learned, and best practices, applying them to NGAโ€™s mission environment.
* Serve as an interface between stakeholders, users, data scientists, and engineering teams.
* Engage directly with users to uncover underlying needs and validate analytical and product solutions.
* Collaborate with product managers, program managers, engineers, and external partners to shape product vision and execution.
* Work closely with software engineering and MLOps teams to deliver scalable, secure, and mission-ready ML solutions.
* Support the full product lifecycle, from concept and experimentation through deployment, evaluation, and sustainment.
* Communicate and advocate product and analytical insights to both technical and non-technical audiences.
* Represent the NGA AI/ML Program at government and industry events as needed.
Required Qualifications * Bachelorโ€™s degree in Computer Science, Mathematics, Engineering, Information Technology, Business, or a related discipline.
* Strong critical-thinking skills with the ability to support collaborative problem solving in a team-based environment.
* Experience working in Agile/Scrum environments; familiarity with Agile methodologies or certifications (e.g., Scrum Master).
* Working knowledge of multiple programming languages and statistical packages, as well as data tooling used in AI/ML environments.
* Experience analyzing large datasets and applying analytical methods to drive product and mission decisions.
* Strong analytical and problem-solving skills, with the ability to use data and metrics to inform product strategy.
* Minimum of 6 months of experience working in or supporting AI-related initiatives.
* Demonstrated adaptability and curiosity in AI, including continuous learning through research, coursework, workshops, or hands-on experimentation.
Desired Qualifications * Masterโ€™s degree in Computer Science, Mathematics, Engineering, Information Technology, Business, or a related field.
* Relevant certifications in Product Management, Project Management, Agile, or Data Science.
* Experience leading or contributing to high-performing teams delivering IT or AI-enabled solutions.
* Deeper familiarity with AI/ML concepts, algorithms, and current industry trends.
* Experience working in cross-functional environments with data scientists, engineers, vendors, and military professionals.
* Prior experience supporting joint military, Intelligence Community, or DoD environments.
Benefits: * Comprehensive Medical, Dental, and Visions Plans
* Life Insurance
* Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays)
* 401K Retirement Plan with employer match
* Professional Development Training Reimbursement
* Flexible/remote work schedule.