AI / ML Senior Analyst

Accenture Federal ServicesArlington, VA
31d

About The Position

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 and part of global Accenture, to do work that matters in 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.

Requirements

  • 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
  • Active TS or TS/SCI clearance

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
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