AI Project Manager

Summary:

• Location: Jacksonville, FL
• Duration: 6 Months

Responsibilities:

• Develop, communicate, and maintain integrated project and portfolio plans, including scope, milestones, dependencies, resourcing, decision points, and delivery risks.
• Coordinate cross-functional teams across business, architecture, engineering, data, testing, security, vendors, and offshore / distributed delivery resources throughout the project life cycle.
• Establish clear accountability for each initiative, confirm responsibilities, track commitments, and hold team members and partners accountable for agreed deliverables.
• Partner with Marketing Owners to clarify the business problem, define requirements, establish acceptance criteria, secure sign-off, and maintain alignment to expected outcomes and KPIs.
• Manage critical dependencies, especially data quality and readiness, platform integration, workflow simplification, architecture, and availability of subject-matter experts.
• Drive responsible AI delivery by ensuring human-in-the-loop checkpoints and incorporating brand, legal, compliance, privacy, security, and governance requirements into workflows before deployment.
• Oversee pilots, proofs of concept, testing, release readiness, implementation, and transition to sustainable operating support; ensure build and system documentation is complete.
• Lead adoption and change-management activities, including communications, training, champion engagement, feedback loops, and measurement of user adoption and business impact.
• Monitor progress through regular status meetings and insightful reporting; communicate status, decisions, risks, issues, and required escalations to sponsors and stakeholders.
• Facilitate gateway reviews for business-critical initiatives and make sure decisions, assumptions, actions, and approvals are documented and traceable.

Requirements:

• Significant experience leading complex, cross-functional technology, data, digital, automation, or AI-enabled initiatives from definition through implementation.
• Demonstrated ability to manage multiple concurrent workstreams with competing priorities, changing requirements, and distributed teams.
• Strong project planning, dependency management, risk and issue management, status reporting, meeting facilitation, and executive communication skills.
• Experience working with business owners, technical delivery teams, architecture, data teams, vendors, and subject-matter experts.
• Practical understanding of AI delivery concepts, including data quality, integrations, experimentation, model or solution validation, privacy, security, and responsible AI governance.
• Experience defining KPIs, acceptance criteria, benefits measures, and adoption plans for new products, platforms, or operating processes.
• Ability to work independently with limited supervision, exercise sound judgment, and create structure in ambiguous environments.
• Comfort working across Ireland and U.S. time zones, with the flexibility to maintain regular collaboration windows with both teams.

Preferred Skills:

• PMP, PRINCE2, Agile, Scrum, SAFe, or comparable project / product delivery certification.