HR Technology and AI Analyst

Leidos•Reston, VA

12d

About The Position

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

Requirements

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.

Nice To Haves

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.

Responsibilities

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