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Product Manager Data Analytics Jobs in Virginia (NOW HIRING)

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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.

Product Strategy Analyst, Data & Analytics

McKesson

Richmond, VA • On-site, Remote

Full-time

Re-posted 18 days ago


McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

46th of 86 rated pharmaceutical


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

About the Role

McKesson Medical-Surgical is seeking a Product Strategy Analyst to support the development, optimization, and lifecycle management of data, analytics, automation, and AI-enabled products. In this role, you will help identify opportunities to create business value through data products, drive stakeholder engagement, evaluate product performance, and support product strategy initiatives from concept through adoption.

Reporting to the Director, Technical Product Management, you will partner with business leaders, analytics teams, data engineers, architects, data scientists, and technology stakeholders to deliver scalable solutions that improve decision-making and operational outcomes. This is a unique opportunity to help shape the future of data products and analytics innovation within a leading healthcare organization.

What You'll Do

  • Partner with business stakeholders to identify opportunities for data, analytics, automation, and AI solutions.
  • Contribute to business case development, product valuation, and prioritization efforts using value-versus-effort assessments.
  • Support the development and execution of data product roadmaps aligned with business objectives and enterprise analytics strategy.
  • Manage and improve data products throughout the product lifecycle, including ideation, planning, development, launch, adoption, optimization, and retirement.
  • Collaborate with data engineers, data architects, developers, data scientists, and technology partners to support delivery of proof-of-concepts (POCs), pilot programs, and minimum viable products (MVPs).
  • Define and track product success metrics, KPIs, adoption measures, and business outcomes.
  • Analyze product performance and user feedback to identify enhancement opportunities and drive continuous improvement.
  • Support stakeholder communications, change management activities, training initiatives, and adoption strategies.
  • Promote scalable analytics solutions and data literacy across the organization.
  • Monitor industry trends, emerging technologies, artificial intelligence capabilities, and data analytics best practices to identify innovation opportunities.
  • Serve as a trusted resource on data products, analytics capabilities, and business value realization.

Basic Requirements

  • Bachelor's degree or equivalent experience.
  • Typically requires 4+ years of relevant professional experience in product management, product strategy, business analytics, data analytics, technical product management, business intelligence, or related fields.
  • Experience working with cross-functional teams to deliver data, analytics, technology, or business process solutions.
  • Experience analyzing business requirements, identifying opportunities, and translating stakeholder needs into actionable product initiatives.
  • Experience using data and metrics to evaluate product performance and business outcomes.

Preferred Skills/Experience

  • Familiarity with artificial intelligence (AI), machine learning, generative AI, large language models (LLMs), and data science concepts.
  • Experience in healthcare distribution, healthcare supply chain, manufacturing, or related industries preferred.

Travel, Location & Physical Requirements

  • Candidate should be located in or near Richmond, Virginia.
  • Occasional travel may be required based on business needs.
  • General office environment with the ability to work on a computer for extended periods.

McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role.

Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future.

If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$92,600 - $154,400

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

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