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.