Analytics Delivery Lead (Onsite - San Antonio, TX)

Accenture Federal Services
San Antonio, TXPosted 25 March 2026

Job Description

At Accenture Federal Services, nothing matters more than helping the US 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! The work: Key Responsibilities: Lead multiple analytic projects and deliver insights for senior decision‑makers. Apply operations research and advanced analytic methods, including simulation, optimization, AI/ML, data mining, advanced statistics, regression, forecasting, decision analysis, performance metrics, risk assessment, geospatial analytics, scheduling, process improvement, and automation. Use Government-managed enterprise data platforms and repositories appropriately and effectively. Conduct analysis using COTS simulation tools, SAS, Palantir Foundry, Databricks, UiPath, Tableau, Microsoft Power Platform, open‑source coding tools, and similar software. Ensure high‑quality analytics outputs and visualizations. Serve in a client‑facing leadership role, overseeing a hybrid (remote and on‑site) analytics team. Here is what you need: US Citizenship required (no dual citizens) DoD Interim Secret clearance Hands‑on experience delivering analytic projects using operations research methods and tools. Familiarity with enterprise data platforms, COTS analytic tools, and visualization software. Experience leading or coordinating teams and communicating with clients. Ability to commute to San Antonio, TX or be located within commuting distance. Preferred experience: Active DoD Secret clearance highly desired Degree in Operations Research, Industrial Engineering, or a related field. Education including 24+ semester hours in operations research, math, probability, statistics, logic, science, or other quantitative coursework. 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 shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for 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 is: $116,900 $243,100 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and develop ... (truncated, view full listing at source)
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