AI / ML Associate Manager
Accenture Federal ServicesArlington, VAPosted 21 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!
Act as the primary bridge between mission stakeholders and our highly technical machine learning development team. You will be responsible for translating complex operational challenges into well-defined requirements for AI/ML models. Your work is critical to ensuring that the models we build are not just technically sound, but that they deliver tangible, mission-relevant outcomes. This role requires a unique blend of business acumen, analytical skills, and a solid understanding of artificial intelligence concepts.
Responsibilities:
Elicit, analyze, and document business and functional requirements from mission stakeholders for new AI/ML models and features
Translate mission problems into clear, unambiguous user stories and technical specifications for the machine learning development team
Define acceptance criteria for AI/ML models, including required inputs, desired outputs, and key performance metrics (e.g., accuracy, precision, latency)
Work closely with data scientists and ML engineers to ensure a clear understanding of the business problem and the proposed technical solution
Facilitate communication between technical and non-technical teams, explaining complex AI/ML concepts in understandable terms
Assist in creating test cases and participate in user acceptance testing (UAT) to validate that model outputs meet the defined business needs
Maintain the product backlog for the MaaS platform, prioritizing features and user stories in collaboration with the team lead
Must have:
3+ years of experience as a Business Analyst, Systems Analyst, or in a similar requirements-focused role
Experience in requirements elicitation, analysis, and documentation in an Agile/Scrum environment
Solid understanding of fundamental AI/ML concepts (e.g., supervised vs. unsupervised learning, training data, model evaluation)
Excellent communication and interpersonal skills, with the ability to facilitate meetings and build consensus between diverse stakeholder groups
Strong analytical and problem-solving abilities
Security Clearance
Active TS or TS/SCI clearance
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:
$76,100
$136,700 USD
What We Believe
As a company wholly dedicated to serving the US federal government, we bring toget ... (truncated, view full listing at source)
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