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Senior Data Product Owner Jobs in Reston, VA (NOW HIRING)

The Product Owner will be responsible for digital customer facing commerce experiences for Audi ... Strong analytical mindset and ability to use user research, data, and qualitative insights to ...

Strong analytical mindset and ability to use user research, data, and qualitative insights to ... Digital Product Owner Sr Worldwide, the Volkswagen Group has a long tradition of dramatic ...

Drive performance and innovation with data-driven insights * Proactively identify opportunities ... McLean, VA: $229,900 - $262,400 for Sr Manager, Cyber Technical Plano, TX: $209,000 - $238,500 for ...

Cyber Product Owner Capital One is seeking a product owner to help deliver game-changing cybersecurity solutions based on threat, data, and design thinking. At Capital One, we believe in the values ...

Drive performance and innovation with data-driven insights * Proactively identify opportunities ... McLean, VA: $229,900 - $262,400 for Sr Manager, Cyber Technical Plano, TX: $209,000 - $238,500 for ...

Senior Data Engineer

Ashburn, VA · Hybrid

$108K - $147K/yr

... productivity and work-life balance. This approach combines structured office engagement with the ... The Senior Data Engineer serves as the technical lead and platform owner for the security data lake ...

What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic ... You will leverage senior-level Python programming skills to build production-ready tools, automate ...

Showing results 41-60

Senior Data Product Owner information

See Reston, VA salary details

$43.2K

$117.4K

$171.1K

How much do senior data product owner jobs pay per year?

As of Aug 15, 2026, the average yearly pay for senior data product owner in Reston, VA is $117,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,300.00 and $134,700.00 per year, depending on experience, location, and employer.

What is a senior data product owner?

A Senior Data Product Owner is a leadership role responsible for defining the strategy, vision, and roadmap of data-driven products within an organization. They act as a bridge between business stakeholders and technical teams, ensuring that data products align with business goals and deliver value. Their responsibilities include prioritizing product features, managing the product backlog, and overseeing the development process. Senior Data Product Owners typically have experience in data analytics, product management, and stakeholder communication. They play a crucial role in maximizing the impact of data assets and fostering a data-driven culture.

What is the difference between Senior Data Product Owner vs Data Analyst?

AspectSenior Data Product OwnerData Analyst
Required CredentialsTypically requires a bachelor’s degree in business, IT, or related field; certifications like Certified Scrum Product Owner (CSPO) are commonUsually requires a bachelor’s degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL are beneficial
Work EnvironmentWorks closely with product teams, stakeholders, and engineering to define data products and roadmapsAnalyzes data sets, creates reports, and provides insights to support decision-making
Employer & Industry UsageCommon in tech, finance, and e-commerce industries focusing on data-driven productsWidely used across industries for data analysis and reporting tasks

The Senior Data Product Owner focuses on managing data products, defining requirements, and collaborating with cross-functional teams, while the Data Analyst primarily analyzes data and generates reports. Both roles require strong analytical skills, but the Product Owner emphasizes product management and stakeholder communication.

How does a senior data product owner typically collaborate with data engineers and other stakeholders to ensure successful product delivery?

A Senior Data Product Owner works closely with data engineers, analysts, business stakeholders, and sometimes data scientists to translate business needs into actionable product requirements. They facilitate regular meetings such as sprint planning and backlog grooming to prioritize features and clarify expectations. Communication is key, as the Senior Data Product Owner must balance technical feasibility with business value, ensuring that all parties are aligned on project goals and timelines. This collaborative approach helps to overcome challenges related to data quality, integration, and evolving business objectives.

What are the key skills and qualifications needed to thrive as a senior data product owner?

To thrive as a Senior Data Product Owner, you need strong skills in data analytics, product management, and a solid understanding of data governance, typically supported by relevant experience or a degree in a related field. Familiarity with tools like SQL, Tableau, Jira, and Agile methodologies, as well as possible certifications such as Certified Scrum Product Owner (CSPO), is often expected. Exceptional stakeholder management, communication, and strategic thinking are crucial soft skills for aligning technical teams and business objectives. These abilities ensure the development of high-impact data products that drive organizational value and support informed decision-making.

What are the most commonly searched types of Data Product Owner jobs in Reston, VA?

The most popular types of Data Product Owner jobs in Reston, VA are:

What are popular job titles related to Senior Data Product Owner jobs in Reston, VA?

For Senior Data Product Owner jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Senior Data Product Owner jobs in Reston, VA look for?

The top searched job categories for Senior Data Product Owner jobs in Reston, VA are:

What cities near Reston, VA are hiring for Senior Data Product Owner jobs?

Cities near Reston, VA with the most Senior Data Product Owner job openings:

AI Product Owner

Interon IT Solutions

Chantilly, VA • Remote

Contractor

Re-posted 8 days ago


Job description

AI Product Owner – Healthcare

Location: Remote
Employment Type: W2
Industry: Healthcare

Job Description

We are seeking an experienced AI Product Owner to lead the strategy, development, and delivery of AI-driven products and solutions within a large healthcare environment.

The ideal candidate will have strong experience in Product Ownership, Artificial Intelligence, Generative AI, and healthcare technology. This role will work closely with business stakeholders, clinical teams, data scientists, AI/ML engineers, architects, and engineering teams to translate healthcare business needs into scalable AI product solutions.

Key Responsibilities

  • Define and own the AI product vision, roadmap, and strategy aligned with healthcare business objectives.
  • Partner with business, clinical, technology, and data teams to identify high-value AI and Generative AI use cases.
  • Translate business requirements into clear product requirements, user stories, features, and acceptance criteria.
  • Own and prioritize the product backlog based on business value, technical feasibility, risk, and customer impact.
  • Lead AI product initiatives involving Generative AI, Large Language Models (LLMs), Machine Learning, NLP, and intelligent automation.
  • Collaborate with AI/ML engineers, data scientists, and architects throughout the AI product development lifecycle.
  • Support the development of AI agents, conversational AI, copilots, and workflow automation solutions.
  • Identify opportunities to improve member experience, patient engagement, clinical workflows, healthcare operations, and employee productivity using AI.
  • Define product KPIs and measure AI solution performance, adoption, accuracy, business value, and user experience.
  • Facilitate product discovery sessions, stakeholder workshops, backlog refinement, sprint planning, and product demonstrations.
  • Ensure AI solutions follow healthcare data privacy, security, and compliance requirements, including HIPAA and enterprise AI governance standards.
  • Partner with Responsible AI, Legal, Compliance, Security, and Data Governance teams to manage AI-related risks.
  • Support AI model evaluation, human-in-the-loop processes, feedback mechanisms, and continuous product improvement.
  • Drive Proof of Concept (POC), Minimum Viable Product (MVP), pilot, and enterprise-scale AI product implementations.
  • Manage cross-functional dependencies and communicate product status, risks, priorities, and roadmaps to leadership.
  • Stay current with emerging AI technologies and identify opportunities to integrate new AI capabilities into healthcare products and platforms.

Required Qualifications

  • 10+ years of experience in Product Management, Product Ownership, Business Analysis, or Digital Product Development.
  • 3+ years of experience supporting AI, Machine Learning, Data, Automation, or Generative AI products.
  • Strong understanding of Generative AI, LLMs, NLP, Machine Learning, and AI product development concepts.
  • Experience defining product roadmaps, managing product backlogs, and writing detailed user stories and acceptance criteria.
  • Strong experience working in Agile/Scrum environments.
  • Experience collaborating with Data Science, AI/ML Engineering, Data Engineering, and Cloud teams.
  • Strong stakeholder management and communication skills.
  • Ability to translate complex AI and technical concepts into clear business outcomes.
  • Experience with tools such as Jira, Confluence, Azure DevOps, or similar product management platforms.

Preferred Qualifications

  • Experience within the healthcare, health insurance, provider, or managed care industry.
  • Understanding of healthcare business processes, clinical workflows, member services, or healthcare operations.
  • Knowledge of HIPAA, healthcare data privacy, AI governance, and Responsible AI principles.
  • Experience with LLMs, RAG, AI Agents, Prompt Engineering, Vector Databases, or Conversational AI.
  • Exposure to cloud AI platforms such as Azure AI, AWS AI/ML, or Google Cloud AI.
  • Experience launching enterprise AI products from POC through production implementation.
  • Product Owner or Agile certifications such as CSPO, SAFe POPM, or PSPO are preferred.