• Lead end-to-end project management for complex, multi-workstream engagements including scope, schedule, budget, risk, and issue management • Develop, maintain, and execute detailed MS Project plans with dependencies, resource loading, and elaborated tasks; apply hybrid Agile/Waterfall approaches appropriate to the engagement context • Drive clarity and alignment when project conditions are ambiguous, off-track, or politically complex, including developing recovery plans and realignment strategies when things go sideways • Facilitate project status reporting, executive briefings, and governance checkpoints • Deliver status updates and executive reporting in visually compelling formats that tell the right story for the right audience, not just data dumps • Identify and proactively manage project risks and dependencies across interconnected workstreams • Elicit, document, and validate business and functional requirements through structured interviews, workshops, and process observation • Develop and maintain business process flow diagrams, gap analyses, use cases, and other analytical artifacts that drive clarity, not just check boxes • Assess current state and future state business processes to identify impacts, risks, and opportunities associated with system and operational changes • Translate complex business requirements into clear, actionable specifications for technical teams and system integrators, specifications they can actually build from without three rounds of clarification • Support configuration, testing, and validation activities related to ERP/Workday implementation workstreams, including UAT planning and execution • Use AI tools to rapidly synthesize meeting notes, interview transcripts, and workshop outputs into structured requirements documents, gap analyses, and decision frameworks, compressing days of manual synthesis into hours • Use AI for project data analysis: identifying risk patterns across workstreams, surfacing schedule dependencies, forecasting resource conflicts, and generating early-warning indicators that inform proactive decision-making • Use AI to accelerate the creation of executive-ready deliverables: status reports, briefing decks, business cases, and analytical artifacts, at a quality and speed that traditional approaches can’t match • Use AI as an analytical partner to pressure-test requirements, validate business process logic, identify specification gaps, and stress-test assumptions before they reach technical teams • Continuously evaluate and adopt emerging AI tools and techniques that improve PM and BA delivery, and share innovations with the Liberum team to raise the collective capability • Manage relationships with executive sponsors, steering committees, and cross-functional stakeholders across state agency environments • Engage and build foundational relationships with customers, project sponsors, vendors, and external stakeholders • Coordinate across vendor, state agency, and internal Liberum team members to ensure integrated delivery • Proactively communicate project progress, risks, and value delivered to client stakeholders, ensuring visibility into team contributions throughout the engagement • Coach and mentor client-side staff to build internal PM and BA capability where applicable • Collaborate with OCM, training, and communications teams to ensure PM and BA outputs support adoption and readiness activities • Identify opportunities to create additional client value throughout the engagement lifecycle, not just fulfill the SOW, but actively look for ways to make the client better