AI Implementation Project Manager

Public Consulting Group

3d•$69,700 - $125,000

About The Position

Public Consulting Group (PCG) is seeking a senior AI Implementation Project Manager to lead the planning, delivery, and client management of AI-enabled solutions within state and local government health and human services environments. This role owns end-to-end project delivery for AI initiatives, driving timelines, managing risk, aligning cross-functional teams, and serving as the primary point of accountability for client outcomes. The ideal candidate is a proven technology PM with a track record of delivering complex implementations in public sector or government consulting contexts. They bring structured delivery discipline, comfort working alongside engineering and data science teams, and the credibility to manage senior client relationships. AI fluency is expected, not as an end in itself, but as a foundation for leading delivery teams building real AI systems in production environments.

Requirements

6+ years of project management experience in technology implementation, with at least 3 years in a client-facing, billable consulting context
Demonstrated delivery of complex, multi-workstream technology programs from inception through go-live
Public sector or government consulting experience — state, local, or federal HHS preferred
PMP certification required (active)
Working knowledge of AI systems in production contexts: model behavior, agentic workflows, integration patterns, evaluation
Strong written and verbal communication; ability to translate technical progress into executive-level narratives
Experience managing delivery across matrixed teams including engineers, architects, QA, and subject matter experts
Proficiency with project management tooling (Jira, ADO, Smartsheet, or equivalent)

Nice To Haves

Agile certifications (SAFe, CSM)
Experience delivering AI, ML, or data platform programs in government (SNAP, Medicaid, MMIS, or IES modernization a strong plus)
Familiarity with federal compliance environments: FedRAMP, CMS ARC-AMPE, or equivalent
Background in HHS program policy, eligibility systems, or public benefits administration
Experience with cloud delivery on AWS GovCloud or Azure Government
Track record in RFP/RFI pursuit support: delivery approach sections, staffing models, work plans
Comfort managing client environments with significant political, regulatory, or oversight sensitivity

Responsibilities

Own delivery planning, scheduling, and risk management across AI implementation workstreams
Drive sprint and release planning in collaboration with engineering leads and architects
Maintain delivery accountability across multiple parallel tracks including requirements, build, integration, UAT
Identify and escalate delivery blockers; proactively manage scope, timeline, and resource constraints
Produce and maintain project artifacts: charters, schedules, status reports, and decision logs
Serve as primary client-facing lead; manage senior stakeholder relationships at state agency director level and above
Facilitate executive-level status briefings, steering committee updates, and milestone reviews
Translate client program and policy context into delivery priorities and acceptance criteria
Navigate client organizational dynamics typical of state government IT modernization engagements
Lead implementation of AI-enabled workflows, agentic pipelines, and decision-support systems in HHS contexts
Coordinate across engineering, solution architects, and QA teams to ensure delivery against technical and functional requirements
Manage implementation of AI evaluation, validation, and human-in-the-loop processes as defined by program requirements
Maintain awareness of AI governance, compliance, and explainability requirements relevant to government deployments (FedRAMP, CMS, state data use agreements)
Partner with business analysts to ensure requirements are scoped, traceable, and acceptance-ready
Coordinate with subcontractors, vendors, and state agency IT counterparts
Support proposal and business development activities including staffing plans, delivery approach narratives, and past performance documentation