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Product Manager Data Analytics Jobs in Washington

You stay updated on new products and technologies. You have hands-on experience using f data ... Analytics practice. * Deliver on projects in the areas of data management, data governance ...

You stay updated on new products and technologies. You have hands-on experience using f data ... Analytics practice. * Deliver on projects in the areas of data management, data governance ...

ICF is seeking an experienced Data Analytics Manager to lead enterprise data, analytics, governance ... Partner with cybersecurity, engineering, product, and program management teams to align data ...

Sr. Manager Data Analytics

Leesburg, VA ยท On-site

$150K - $170K/yr

... data products, predictive analytics, and decision-support tools. * Advance adoption of modern ... management. * Hands-on leadership style with the ability to operate at both strategic (roadmap ...

Product Manager

Springfield, VA ยท On-site

$170K - $180K/yr

Working knowledge of AI/ML concepts, data analytics, and statistical methods * Familiarity with ML ... Product Management, Agile, or Project Management certification (e.g., Scrum Master, PMP, SAFe ...

Product Manager

Springfield, VA ยท On-site

$170K - $180K/yr

Working knowledge of AI/ML concepts, data analytics, and statistical methods * Familiarity with ML ... Product Management, Agile, or Project Management certification (e.g., Scrum Master, PMP, SAFe ...

... productivity and profitability through innovations in business and technology. Industry and ... Acumen Solutions is looking for a Sr. Manager of Data Analytics to join our Analytics team. The Sr. ...

The Program Manager - Data Analytics will serve as the primary point of contact for the Government ... Must put forward a professional behavior that enhances productivity and promotes teamwork and ...

The Program Manager - Data Analytics will serve as the primary point of contact for the Government ... Must put forward a professional behavior that enhances productivity and promotes teamwork and ...

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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 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 84% Full Time, 9% Part Time, 2% Temporary, and 5% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution.

Manager, Data & Analytics

Highspring

Mclean, VA โ€ข On-site

Full-time

Re-posted 3 days ago


Job description

Transform Your Careerย 

We deliver unparalleled opportunities for growth and career advancement. Our dynamic, entrepreneurial culture supports your journey every step of the way.ย 

Embrace new challenges and deliver real value to some of the world's most influential Fortune 100 brands, growth companies transforming their industries, and mid-market firms that need help navigating the defining moments of their lifecycle. Work side by side with business leaders to solve complex client challenges and make a true impact. Love what you do as part of a diverse organization committed to collaboration and continuous learning.

The Team - Data & Analytics

Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients maximize the value of their data by designing modern data platforms, building scalable pipelines, and delivering analytics and reporting solutions that enable better decision-making. Our consultants are hands-on problem solvers who partner closely with clients in fast-paced, project-based environments.

You Are

You are a team-builder and problem-solver. You stay updated on new products and technologies. You have hands-on experience using f data, automation, and AI/ML tools and applications to creatively design, prototype, and implement solutions for your clients. You know that collaboration is key, so you look for ways to share and source best practices. If there's a new way to do something that improves outcomes for clients, you'll find it.

Your Impact

  • Design and build modern data warehouses and analytics-ready data models.
  • Develop scalable, reliable data pipelines using cloud-based data platforms.
  • Implement analytics, reporting, and visualization solutions that translate complex data into clear, actionable insights for client stakeholders.
  • Partner with client teams to understand business objectives, data challenges, and success metrics through interviews and working sessions.
  • Manage discrete project workstreams, balancing technical execution with client communication and delivery timelines.
  • Present findings, recommendations, and solution designs to both technical and non-technical audiences.
  • Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code.
  • Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts.
  • Actively participate in internal knowledge sharing, mentoring, and career development activities.
  • Support the shaping of the strategic direction of our growing AI/ML, automation, and Data Analytics practice.
  • Deliver on projects in the areas of data management, data governance, dashboard monitoring, DQ dashboards, data controls, data lineage, and data mapping.
  • Support data transformation initiatives across a range of service lines, including:
    • M&A Lifecycle (integrations, divestitures, and carveouts)
    • Finance Transformation
    • Enterprise Data Strategy / Governance Standup
    • Process Improvement and Automation
    • System Implementations / Migrations
    • Data and Automation Strategy and Road mapping (including how companies can leverage AI, ML, and other advanced data modeling concepts)
  • Identify insights through use of statistical, algorithmic, mining and visualization techniques.
  • Conduct interviews with client stakeholders to identify process and data challenges.
  • Document and present findings to both technical and non-technical audiences.
  • Develop analytical proof-of-concept prototypes and/ or deliver large-scale analytical platform implementations to fulfill clients' tactical and strategic requirements.
  • Develop business procedures and data management policies for ensuring data accuracy and control.
  • Create model documentation, develop implementation roadmaps, and perform knowledge transfers.

At a minimum, you will have:

  • 4+ years of data analytics, AI, ML, or GenAI experience
  • Tier 1/Tier 2 consulting or professional services firms.
  • Experience architecting and developing AI/ML solutions.
  • Experience programming in Python, SQL, and/or R.
  • Experience using GitHub (e.g., source code management).
  • Comprehensive knowledge of modern statistical learning methods.
  • Experience using applied statistics or machine learning in a professional or other intensive problem-solving environment with large, complex datasets.
  • Experience with any of the following commercial analytics, automation, and AI/ML tools: Alteryx, Power BI, Tableau, Power Automate, UiPath, Automation Anywhere, AI/ML/GenAI platforms, Informatica, Oracle EDMC, etc.
  • Proven ability to lead, motivate and build teams that deliver services and solutions that surpass client expectations.
  • Ability to lead workshops, including the gathering/documenting of requirements and use-cases and recommendation of envisioned processes.
  • Experience presenting to CXO suite.
  • Industry experience within Financial Services, Technology/SaaS, and/or Supply Chain.
  • Understanding of typical software development lifecycles (Waterfall and Agile) and their associated lifecycle artifacts.
  • Experience with identifying and correcting problems in imperfect data and processes.
  • Bachelor's degree in Mathematics, Statistics, Computer Science, Information Systems, or other technology-related field or equivalent number of years of experience
  • Flexibility to accommodate travel up to 25%.

Preferably, you will have:

  • Strong business skills and experience in accounting, corporate finance, and FP&A.
  • Familiarity with the M&A transaction lifecycle.
  • Master's degree in Information Technology, Statistics, Physics, Analytics or related field.
  • Experience managing technical development by acting as a liaison between the technical team and the user community.

The Kind of Person Who Thrives in This Role:

We are not looking for someone who fits neatly into a single box. The ideal candidate is a "bridger"-someone who can move fluidly between a technical deep dive and an executive conversation. Specifically:

  • You're a builder, not just an analyst. When you see a gap in a process or a tool, your instinct is to prototype something-a script, a template, a dashboard, not just write a slide about it.
  • You're curious about "why" and "so what." You don't just want to understand how a transformer model works; you want to understand what that means for how organizations should govern and secure it.
  • You write well. A significant portion of this role involves producing written work-reports, frameworks, articles-and clarity of writing is non-negotiable.
  • You're comfortable being the least experienced person in the room. You'll be in meetings with CIOs, CISOs, and senior partners. You need the confidence to contribute and the humility to learn.

What We Offer

  • Accelerated growth trajectory: You'll be building a practice from the ground up alongside senior leadership, gaining exposure and responsibility that would take years to earn in a larger, more established team.
  • Investment in your learning: Budget for certifications, training programs, and conference attendance.
  • Client diversity: Work across industries and with organizations at different stages of AI maturity-from Fortune 500 companies to mid-market firms navigating their first AI initiatives.