HR Technology and AI Analyst

Company: Leidos
Location: Reston
Posted on: April 2, 2026

Job Description:

Leidos is seeking a HR Technology & AI Analyst to support our HR organization and drive implementation of HR AI technology solutions, including solutions developed in house and deployed through vendor platforms like Workday, Service Now, and UKG. The ideal candidate brings a combination of AI strategy execution, application development, analytical skills, and the ability to explain complex technical concepts to HR professionals with non-technical backgrounds. The analyst will work with HR leadership to translate advanced AI concepts into scalable, business-ready solutions. Primary Responsibilities include: AI Vision & Strategy Work with the HR AI Lead to execute the HR and workforce AI vision in alignment with enterprise AI strategy, and partner with HR D&A leadership to identify high-value AI use cases. Work with the HR AI Lead to define standards and best practices for responsible, ethical, and scalable AI adoption within HR systems. Communicate complex AI concepts, results, and tradeoffs clearly to non-technical audiences. AI Application Development & Review Provide technical and functional expertise in the design, development, review, and deployment of AI-enabled applications. Review AI models, workflows, and system integrations to ensure quality, explainability, fairness, and performance. Guide application lifecycle decisions, including build vs. buy, prototyping, and production readiness. Audit training data and model outputs to detect bias, adverse impact, and performance drift. Collaboration with AI & Technology Teams Act as a liaison between HR and the AI development team in the Technology organization. Work with the HR AI Lead to translate business requirements into technical specifications and guide AI engineers toward practical, user-centered solutions. Work through the AI governance to document HR AI applications, prepare materials for reviews, and present during board reviews for approval Required Experience: Bachelor’s degree in a technical or quantitative field with 4 years of experience, or Master’s degree with 2 years (additional experience may be considered). 2 years of hands-on experience with AI/ML and software development concepts, including model development, data pipelines, ETL, and application integration. Demonstrated experience leading or influencing AI solution design and implementation. Strong understanding of data preparation, feature engineering, and model evaluation. Proficiency with scripting/programming languages and AI platforms (e.g., Python, R, JSON, OpenAI, Claude, etc.). Ability to assess AI solutions for accuracy, bias, scalability, and business alignment. Exceptional communication, presentation, and stakeholder management skills. Experience working in complex, fast-paced, cross-functional environments. High level of discretion handling sensitive employee and enterprise data. Preferred Experience: Experience defining or implementing enterprise AI governance or responsible AI practices. Applied statistics expertise (e.g., regression, hypothesis testing, distribution). Experience with Workday and Workday Extend. Background working closely with centralized AI or advanced analytics teams. Experience leading AI initiatives from concept through production. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: January 22, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Keywords: Leidos, Reston , HR Technology and AI Analyst, IT / Software / Systems , Reston, Virginia