Project Manager managing AI and automation initiatives across HR, finance, and business processes at Duke University. Collaboration with multiple stakeholders to ensure timely delivery and effective communication.
Responsibilities
Plan, organize, and coordinate a portfolio of AI and automation initiatives across HR/payroll, finance, and business processes.
Maintain the project pipeline, drive scoping and requirements gathering, and ensure that active projects are delivered on time, within scope, and with clear communication to partners.
Maintain a central portfolio of candidate and active AI/automation projects, including status, priority, owners, and key dates.
Design and run lightweight intake and prioritization processes for new project requests from HR, finance, and other business units; track 5+ concurrent projects across discovery, design, implementation, and evaluation.
Develop and maintain formal project plans with timelines, milestones, testing phases, and implementation steps; coordinate kick-offs, define scope and objectives, and clarify success criteria.
Monitor progress against plan; identify and escalate risks, issues, and scope changes; propose adjustments to keep projects on track; support end-to-end execution from proof-of-concept through deployment and post-implementation review.
Schedule, prepare, and facilitate project meetings and working groups (agendas, notes, action items); maintain clear, consistent communication so stakeholders always know status, decisions, and next steps.
Requirements
Bachelor’s degree in business, information systems, public administration, or a related field; or an equivalent combination of relevant education and/or experience.
Four or more years of progressively responsible experience managing projects or complex initiatives in a professional setting.
Demonstrated experience creating and maintaining project plans and timelines; coordinating work across multiple stakeholder groups; leading meetings, documenting decisions, and following up on action items.
Experience working on projects related to operations, IT systems, data, or process improvement.
Experience in a higher education or similarly complex, decentralized organization.
Exposure to AI, automation, analytics, or workflow tools (e.g., RPA, chatbots, low-code/no-code platforms, or enterprise AI tools).
Experience mapping workflows and supporting end-to-end IT or process transformation projects.
Project management certification (e.g., PMP, CAPM, Scrum Master) or formal training (preferred but not required).
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