Summary
Aptive Resources is seeking a Management Analyst to support the Department of Veterans Affairs Office of Research and Development’s Investigators, Scientific Review, and Management team. The role supports an AI cross-functional team by tracking goals, developing responsible AI policies and procedures, identifying workload-reduction opportunities, and coordinating staff education and training. The analyst will also conduct organizational studies, assess AI adoption, modernize workforce processes, and collect staff and customer feedback.
Responsibilities
- Participate in ISRM's AI cross-functional team standing meetings and help track progress against the team's core goals
- Provide recommendations to support development, review, and finalization of policies and procedures governing responsible AI use, currently under review by the team
- Help identify and evaluate opportunities to use AI tools to reduce or streamline staff workload across ISRM's field-based programs
- Deliver or support delivery of education and training materials to help employees and field-based staff use VA-provided AI tools responsibly and efficiently, coordinating with other trainers or subject matter experts as needed
- Track and report on progress toward the AI cross-functional team's goals, including policy status, workload-reduction initiatives, and training completion/adoption
- Conduct organizational studies assessing ISRM's current policies, position/performance plans, and workforce processes, and identify gaps relative to AI-integration and modernization goals
- Support harmonization and modernization of ISRM policy/position and performance plans as they relate to AI adoption
- Conduct surveys, focus groups, and other data collection techniques to assess customer and staff experience with ISRM services and AI adoption efforts
Skills
- * Bachelor's degree in business administration, public administration, organizational development, or a related field
- * 4+ years of experience conducting organizational studies, gap analyses, or program effectiveness assessments
- * Experience with LLMs, digital health and artificial intelligence tools
- * Experience developing training materials, guidance documents, or process improvement recommendations
- * Proficiency with Microsoft Office tools, including Excel, Teams, and SharePoint
- * Strong organizational and communication skills
- * Ability to work independently in a remote environment
- * Ability to obtain and maintain a public trust clearance
- * Legal authorization to work in the U.S
- * Experience supporting or participating in cross-functional teams or working groups
- * Experience delivering or supporting staff training/education sessions
- * Experience conducting surveys, focus groups, or similar data collection methods
- * Experience working in a federal, VA, or large healthcare system environment
- * Strong facilitation and stakeholder communication skills
Qualifications
Must Haves
- * Bachelor's degree in business administration, public administration, organizational development, or a related field
- * 4+ years of experience conducting organizational studies, gap analyses, or program effectiveness assessments
- * Experience with LLMs, digital health and artificial intelligence tools
- * Experience developing training materials, guidance documents, or process improvement recommendations
- * Proficiency with Microsoft Office tools, including Excel, Teams, and SharePoint
- * Strong organizational and communication skills
- * Ability to work independently in a remote environment
- * Ability to obtain and maintain a public trust clearance
- * Legal authorization to work in the U.S
Nice to Haves
- * Experience supporting or participating in cross-functional teams or working groups
- * Experience delivering or supporting staff training/education sessions
- * Experience conducting surveys, focus groups, or similar data collection methods
- * Experience working in a federal, VA, or large healthcare system environment
- * Strong facilitation and stakeholder communication skills
Benefits
- Full-time (40 hours/week), 100% remote position