AI Implementation & Project Manager

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.

Requirements
QUALIFICATIONS: To perform this job successfully, an individual must be able to perform each competency satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

REQUIRED QUALIFICATIONS:

· Experience in project management, workflow improvement, technology implementation, or digital transformation.

· Working knowledge of AI concepts, common AI tools, and their practical applications in business operations.

· Strong analytical skills with the ability to evaluate data, measure impact, and communicate results.

· Excellent communication skills and ability to work effectively with leadership and cross-department teams.

· Ability to translate complex technical concepts into practical, accessible guidance for non-technical staff.

· Experience developing documentation, training materials, or process improvements.

DESIRED QUALIFICATIONS:

· Experience implementing AI projects within public sector, housing authorities, or regulated environments.

· Familiarity with data privacy, security, and responsible AI use policies.

· Experience with change management, vendor coordination, and user adoption strategies.

· Certifications in project management (PMP, Agile), data analytics, or AI/ML fundamentals.

EDUCATION/EXPERIENCE/CERTIFICATIONS:

· A bachelor’s degree in information technology, Computer Science, Data Science, Business Systems, or a closely related field is required.

· An equivalent combination of education and relevant experience may be considered in place of a degree.

· Experience with AI tools, technology implementation, workflow analysis, or data driven process improvement is required.

· Professional certifications such as PMP, Agile/Scrum, Data Analytics, or AI/ML fundamentals are desirable.