Sr. Data Analytics Product Manager

At Accenture Federal Services, nothing matters more than helping the U.S. federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands‑on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

If you’ve ever wanted to bring true product thinking and commercial data practices into government, this is the role. We’re hiring for a Sr. Data Analytics Product Manager to join our Civilian portfolio at Accenture Federal Services, where our teams are building modern digital products that directly improve everyday experiences for the public.

As a Sr. Data Analytics Product Manager, you will play a pivotal role in building and using a robust Databricks platform to improve a highly visible online product and user experience. As an analytics practitioner, you will analyze complex datasets, identify trends, uncover patterns, and provide meaningful interpretations that guide organizational goals. As a product manager, you will also prioritize the design of the data platform and data products needed to deliver stakeholder outcomes.

What makes this opportunity stand out is the client: mission‑driven, product‑oriented, and moving with a speed and mindset you’d expect from a Silicon Valley product company.

Note:

The role can be remote or in‑person in D.C., but U.S. citizenship is required. Databricks experience is ++.

• Define and manage data product roadmap, epics, and tasks needed to deliver client outcomes
• Transform raw data into actionable insights that drive strategic business decisions
• Analyze data to identify trends, patterns, and insights
• Leverage your expertise in data visualization in tools such as Databricks, Tableau, Power BI, and MS Excel to create compelling visual representations of your findings
• Assist the client in dashboarding, ensuring that stakeholders can easily understand and act on the insights you provide
• Develop detailed reports that summarize your analyses, offering clear and concise recommendations to support decision‑making processes

• 5+ years experience with database querying languages like SQL
• 3+ years with data visualization tools such as Databricks, Tableau, Power BI, or similar platform
• Strong understanding of data cleaning, manipulation, and transformation processes
• Ability to work with large datasets and experience presenting complex data to non‑technical audiences
• Exposure to predictive analytics or machine learning frameworks to further enhance your ability to identify forward‑looking trends and opportunities
• Proficient in working within and following an agile delivery environment and software development lifecycle, including user story documentation and testing
• Must be a U.S. Citizen eligible for Public Trust Clearance

• A background in business intelligence, market research, or a related field
• Combination of technical expertise and strong communication skills
• A proactive approach to problem‑solving and a keen eye for detail to ensure that your insights are accurate and impactful.

As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is $100,200—$203,400 USD. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location,…