Top Artificial Intelligence Project Management Jobs

Provides program support to Public Sector leadership by coordinating priorities, tracking initiatives, improving workflows, supporting governance, preparing executive reports and dashboards, documenting decisions, and maintaining accountability across Finance, HR, IT, and Security teams. The role also supports timekeeping compliance, financial audits, SharePoint administration, GovCon processes, and CUI protection within CMMC-aligned environments.

Leads advanced hardware manufacturing scale-up programs, overseeing production readiness, planning, material availability, capacity, testing, validation, and manufacturing execution. Coordinates manufacturing, engineering, procurement, supply chain, and supplier quality teams to stabilize production lines and meet demand. Tracks metrics, schedules, risks, milestones, and issue resolution while communicating program status and recommendations to management.

As a Delivery Manager, you'll co-manage embedded teams, ensuring quality delivery, spotting risks, and partnering with clients on technical projects.

Own end-to-end delivery of multi-site healthcare device deployments from contract signature to operational go-live. Plan rollouts, allocate and hire field resources, coordinate customers, internal teams and vendors, monitor deployment data and device health, visit sites, escalate issues, and maintain customer relationships across facility and executive levels. Frequent nationwide travel required.

Coordinate hardware partnership activities across technical evaluations, proofs of concept, commercial workstreams, financing, supply, and deployment. Prepare partner meetings, maintain Notion pages and trackers, document actions and decisions, monitor milestones, coordinate cross-functional dependencies, and surface risks or blockers. The role supports partnership owners while gradually taking ownership of smaller projects and workstreams.

Own delivery of enterprise AI automation projects from planning through rollout. Manage scope, timelines, milestones, budgets, risks, dependencies, client communication, status reporting, and change orders. Coordinate cross-functional teams and stakeholders, lead project meetings, track action items through completion, support user adoption and production handoff, and identify process improvements using AI tools.

Lead AI deployments for payor customers from planning through launch and adoption. Coordinate customer, product, engineering, clinical, and implementation teams; manage timelines, milestones, risks, training, rollout readiness, and stakeholder alignment. Translate payor workflows and business priorities into actionable plans, resolve blockers, guide organizational change, and develop repeatable deployment playbooks that improve scalability, adoption, and time to value.

Lead client relationships and technical project delivery from kickoff through completion. Manage timelines, deliverables, stakeholder communication, meetings, documentation, competing priorities, and issue resolution across multiple accounts. Translate technical concepts into business value, coordinate with product, engineering, and design teams, protect internal team bandwidth, and de-escalate client concerns while maintaining trust and delivery quality.

Own enterprise software implementation projects from contract through post-launch, managing scope, budget, timeline, risks, dependencies, customer relationships, and change control. Lead discovery, work breakdowns, backlog readiness, status reporting, escalations, and delivery governance. The role requires Dynamics 365 and ERP integration knowledge, AI-accelerated delivery experience, financial tracking, and the ability to mentor project managers and improve PMO practices.

Own the master campaign calendar and coordinate customer campaign launches across engineering, deployment, clinical, QA, compliance, and data teams. Translate customer and clinical needs into precise technical requirements, manage approvals and change control, monitor launch readiness and risks, and maintain repeatable intake, documentation, and runbook processes. Track delivery metrics and improve tools and workflows for managing multiple concurrent healthcare campaigns.