HR Technology and AI Analyst
Leidos
Job Overview
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Job Description
About Leidos
Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025.
Job Overview: HR Technology and AI Analyst
Leidos is seeking an HR Technology & AI Analyst to support its HR organization, focusing on driving the implementation of HR AI technology solutions. This includes both in-house developed solutions and those deployed through vendor platforms such as Workday, Service Now, and UKG. The ideal candidate will possess a strong combination of AI strategy execution, application development expertise, analytical skills, and the ability to articulate complex technical concepts to non-technical HR professionals. The analyst will collaborate with HR leadership to transform advanced AI concepts into scalable, business-ready solutions.
Primary Responsibilities
- AI Vision & Strategy: Work with the HR AI Lead to execute the HR and workforce AI vision, aligning with the enterprise AI strategy. Partner with HR D&A leadership to identify high-value AI use cases. Define standards and best practices for responsible, ethical, and scalable AI adoption within HR systems. Clearly communicate complex AI concepts, results, and tradeoffs 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 within the Technology organization. Translate business requirements into technical specifications and guide AI engineers toward practical, user-centered solutions. Work through the AI governance process 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.
Key skills/competency
- HR Technology
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Workday
- Python
- AI Governance
- Solution Design
- Data Pipelines
- Application Integration
- Stakeholder Management
How to Get Hired at Leidos
- Research Leidos's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor. Understand their commitment to innovation and national security missions.
- Tailor your resume for HR Technology and AI Analyst: Customize your application to highlight experience in HR tech implementation, AI/ML solution design, data pipelines, and platform integrations (Workday, ServiceNow, UKG). Use keywords from the job description.
- Showcase AI and HR domain expertise: Prepare to discuss your hands-on experience with AI/ML concepts, responsible AI practices, and how you've applied these in an HR context. Emphasize your ability to bridge technical and non-technical teams at Leidos.
- Prepare for technical and behavioral interviews: Be ready to demonstrate proficiency in scripting languages like Python and discuss complex AI concepts. Practice explaining technical details clearly to non-technical audiences, showcasing your communication and stakeholder management skills.
- Highlight problem-solving and ethical AI: During interviews, articulate instances where you've tackled complex challenges, ensured AI solution quality, and addressed ethical considerations like bias in models. Emphasize your strategic thinking for Leidos's future HR AI initiatives.
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