IT Project Manager, Enterprise AI

Key Responsibilities: Manage multiple AI and technology projects from initial planning through implementation, keeping scope, timelines, budgets, and deliverables on track. Facilitate project kickoffs, requirements sessions, team meetings, and stakeholder updates. Work with Business Analysts and business partners to translate requirements into project plans, user stories, and development priorities. Coordinate developers, analysts, QA, and other technical teams to manage resources, dependencies, and competing priorities. Maintain project schedules, backlogs, sprint activities, and reporting using Agile project management tools. Identify risks and roadblocks early, drive issue resolution, and hold teams accountable for commitments. Oversee testing and User Acceptance Testing (UAT), including planning, defect tracking, business validation, and resolution. Maintain project documentation and ensure required reviews, approvals, and delivery standards are met. Communicate project progress, risks, resource needs, and key decisions to leadership. Support a mix of application development, automation, platform improvements, and internal technology projects. Required Qualifications: 8+ years of IT Project Management experience supporting software development, digital transformation, data, or AI initiatives. Strong understanding of the Software Development Lifecycle (SDLC), from requirements gathering through testing, deployment, and release management. Hands-on experience leading Agile/Scrum projects, including sprint planning, backlog management, and cross-functional delivery. Experience working closely with developers, QA, Business Analysts, and business stakeholders to deliver technology solutions. Proficiency with project management platforms such as Jira, Azure DevOps, or comparable tools. Experience coordinating UAT, managing risks, resolving issues, and maintaining delivery timelines. Ability to independently lead meetings, manage expectations, and communicate with technical and nontechnical audiences. Strong organizational skills and the ability to manage multiple projects with changing priorities. Preferred Qualifications: Experience delivering AI, generative AI, machine learning, automation, or analytics projects. Familiarity with enterprise AI tools, cloud-based AI services, or low-code development platforms. Experience supporting innovation teams or introducing emerging technologies into business operations. Exposure to formal project governance, approval processes, or compliance requirements. Experience working in a large, complex enterprise environment. PMP, Scrum Master, SAFe, PMI-ACP, or similar certifications. Soft Skills / Ideal Candidate: Confident leader: Comfortable running meetings, guiding discussions, and holding stakeholders accountable. Takes initiative: Identifies gaps, anticipates challenges, and moves work forward without waiting for direction. Adaptable: Comfortable with ambiguity, evolving requirements, and shifting priorities. Strong communicator: Builds relationships and works effectively with technical teams and business leaders. Organized: Keeps track of deadlines, details, and follow-through across multiple projects. Comfortable pushing back: Asks thoughtful questions, challenges assumptions, and sets realistic expectations while maintaining positive relationships. Curious about technology: Interested in AI and emerging tools and how they can improve business processes and project delivery. #J-18808-Ljbffr