AI Implementation & Project Manager

SCOPE: The AI Implementation & Project Manager will lead organizational efforts to adopt, integrate, and scale artificial intelligence solutions across departments. This role will work closely with department leadership to identify operational bottlenecks, analyze current workflows and future needs, design AI-enabled improvements, and oversee projects from concept through full deployment. The position requires strong cross-functional communication skills, a solid understanding of AI technologies, and the ability to quantify outcomes such as cost savings, productivity gains, and time reduction. This role also supports change management, adoption planning and post-implementation evaluation to ensure solutions are sustained over time.

ESSENTIAL DUTIES AND RESPONSIBILITIES: The below statements are intended to describe the general nature and scope of work being performed by this position. This is not a complete listing of all responsibilities, duties and/or skills required.

AI Strategy & Planning:

·         Meet regularly with department leaders to understand workflows, challenges, and opportunities where AI can enhance efficiency and productivity.

·         Develop an agency-wide AI roadmap aligned with organizational goals, compliance requirements, budgetary constraints and operational needs.

·         Identify and prioritize high-impact AI use cases across departments.

·         Evaluate current state and future state process to determine where AI can provide measurable value.

Project Management:

·         Create detailed AI project plans including scope, timelines, milestones, resourcing, budgets and risk mitigation strategies.

·         Manage implementation from pilot through full deployment, ensuring projects stay on schedule, budgets and within scope.

·         Coordinate with IT, vendors, and stakeholders to ensure technology readiness, policy alignment, and successful adoption.

·         Track action items, dependencies, and deliverables through implementation and post launch optimization.

AI Implementation & Support:

·         Evaluate different types of AI tools (generative AI, automation platforms, predictive analytics, workflow tools, etc.) to determine the best fit for specific departmental needs.

·         Assist teams in adopting AI workflows through demonstrations, training, documentation, and ongoing support.

·         Develop standards, best practices, and governance guidelines to promote safe, responsible, and compliant AI use.

·         Develop user guides, process maps, standard operating procedures, and best practice documentation to support consistent use.

·         Provide ongoing support after deployment to improve adoption and resolve issues.

Change Management & Adoption:

·         Lead change management efforts to encourage adoption of new AI tools and processes.

·         Partner with leaders and frontline staff to address resistance, gather feedback, and improve implementation outcomes.

·         Develop communication and training strategies tailored to different user groups and skill levels.

·         Monitor adoption rates and user engagement and recommend additional support where needed.

Governance, Privacy & Compliance:

·         Help develop and enforce AI governance policies, SOPs, guidelines, acceptable use standards, and internal control practices.

·         Ensure AI solutions comply with privacy, security, records retention, and regulatory requirements.

·         Set up AI employee usage monitoring systems and reports for risk management to ensure AI policy, procedures and guidelines adherence.

·         Work with IT, legal, and leadership teams to assess risk and establish approval processes as needed.

·         Document data handling practices and ensure sensitive information is protected appropriately.

Data & Outcome Measurement:

·         Design and track key metrics to quantify results such as time saved, cost reduction, performance improvements, accuracy gains, and productivity impacts.

·         Prepare clear reports and presentations for executive leadership showing ROI, operational benefits, and progress toward agency AI maturity.

·         Conduct post-implementation reviews to evaluate results and identify opportunities for improvement.

·         Use data to support continuous improvement and future AI planning.

·         Perform additional duties as assigned.