AI Data Analyst & Project Manager (Remote)

GovCIO is hiring an AI Data Analyst & Project Manager to support the Department of Veterans Affairs Chief AI Officer organization. The role combines data analysis, performance measurement, project management, executive support, and cross-functional coordination across enterprise artificial intelligence initiatives.

Responsibilities:

• The AI Data Analyst & Project Manager supports CAIO's enterprise AI measurement, program management, and operational activities. The position will serve as a flexible resource supporting CAIO leadership and initiative leads across data, project management, reporting, and other priority AI functions
• Collect, organize, analyze, and validate data from multiple AI programs, products, platforms, and initiatives across VA
• Develop and maintain standardized metrics and key performance indicators (KPIs) for AI adoption, utilization, performance, outcomes, and organizational impact
• Develop dashboards, scorecards, reports, and visualizations that provide leadership with visibility into AI initiatives and performance
• Analyze quantitative and qualitative data to identify trends, opportunities, risks, and areas requiring leadership attention
• Partner with initiative owners to establish consistent metric definitions, reporting standards, methodologies, and data-collection processes
• Evaluate data quality and identify gaps, inconsistencies, or limitations affecting reporting and decision-making
• Translate complex data and technical findings into clear insights and recommendations for executive and non-technical audiences
• Support ad hoc analysis and data requests associated with executive reporting, congressional inquiries, strategic planning, and other CAIO priorities
• Provide project management support for priority CAIO initiatives, projects, and workstreams
• Partner with CAIO leadership and initiative leads to develop project plans, milestones, deliverables, schedules, and measures of success
• Track actions, decisions, dependencies, risks, issues, and deadlines across assigned initiatives
• Coordinate activities and deliverables across technical, policy, governance, communications, data, and operational teams
• Facilitate working sessions, project meetings, and stakeholder discussions and ensure decisions and action items are documented and followed through to completion
• Identify project risks, barriers, and dependencies and proactively elevate issues requiring leadership attention
• Develop and maintain project trackers, status reports, roadmaps, briefing materials, and other program-management artifacts
• Support leadership with recurring portfolio and initiative status reporting
• Provide cross-functional support to CAIO leadership and staff on emerging AI priorities and initiatives
• Support planning, research, coordination, documentation, and implementation activities for AI programs that may extend beyond the position's primary data responsibilities
• Assist initiative leads with developing business requirements, implementation plans, measurement strategies, stakeholder engagement approaches, and other program needs
• Coordinate across internal and external stakeholders to advance CAIO priorities and resolve outstanding actions
• Support development and improvement of CAIO processes, workflows, governance structures, and operating procedures
• Conduct research and analysis related to emerging AI technologies, policies, use cases, and federal requirements as needed
• Support development of executive briefings, presentations, decision materials, and other leadership products
• Adapt to evolving organizational priorities and provide analytical, project management, and operational support where needed across the CAIO portfolio

Requirements:

• Bachelor's with 8+ years (or commensurate experience)
• Experience performing data analysis, business intelligence, performance measurement, program analysis, or a related analytical function
• Experience providing project or program management support for complex initiatives involving multiple stakeholders
• Demonstrated ability to manage projects, deliverables, dependencies, risks, action items, and deadlines
• Demonstrated ability to collect, clean, validate, analyze, and interpret data from multiple sources
• Experience developing metrics, KPIs, dashboards, scorecards, or recurring performance reports
• Strong analytical, organizational, and problem-solving skills
• Ability to translate complex technical, analytical, or program information into clear recommendations and materials for leadership
• Experience coordinating across technical, business, operational, and executive stakeholders
• Ability to independently manage multiple priorities and shift between analytical, project management, and operational responsibilities
• Strong written and verbal communication skills
• Proficiency with Microsoft Excel, PowerPoint, Teams, SharePoint, and project management or collaboration tools
• Experience with data visualization or business intelligence tools such as Power BI
• Ability to obtain and maintain a Suitability/Public Trust clearance
• Experience supporting artificial intelligence, machine learning, data science, digital transformation, or emerging technology programs
• Experience supporting the Department of Veterans Affairs or another federal government agency
• Experience supporting enterprise-level programs or portfolios consisting of multiple concurrent initiatives
• Experience with Power BI, SQL, Python, Tableau, or similar analytics and visualization tools
• Experience developing measurement frameworks for technology adoption, product utilization, operational performance, or organizational outcomes
• Familiarity with AI governance, responsible AI, AI adoption, or federal AI policy
• Experience supporting senior executives and developing executive-level briefings, dashboards, reports, or decision materials
• Experience establishing or improving project management, reporting, or operational processes
• Familiarity with Agile, traditional project management, or hybrid delivery methodologies
• PMP, CAPM, Agile, or other relevant project/program management certification
• Bachelor's degree in Data Analytics, Data Science, Information Systems, Business Administration, Project Management, Computer Science, or a related field