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AI Project Manager

  • Source: LinkedIn
  • CoreVia Staffing
  • Remote
  • United States
  • Senior

Job Description

🚀 Now Hiring: AI Project Manager | 100% Remote | W2

We are seeking an experienced AI Project Manager to lead the planning, coordination, and delivery of a portfolio of AI-enabled initiatives across Marketing & Communications .

This role will translate business priorities into executable delivery plans, align Marketing Owners with AI Development teams primarily based in Ireland, and ensure initiatives progress from idea and scoping through build, pilot, adoption, and measurable business value.

📍 Position Details

  • Role: AI Project Manager
  • Work Arrangement: 100% Remote
  • Employment Type: W2
  • Focus: AI, Technology, Data, Automation & Marketing

🔑 Key Responsibilities

  • Develop and maintain integrated project and portfolio plans covering scope, milestones, dependencies, resources, risks, and decision points.
  • Coordinate cross-functional teams across business, architecture, engineering, data, testing, security, vendors, and distributed delivery teams.
  • Establish clear accountability, track commitments, and drive timely delivery of agreed milestones.
  • Partner with Marketing Owners to define business problems, requirements, acceptance criteria, KPIs, and expected outcomes.
  • Manage critical dependencies involving data quality, platform integration, workflow simplification, architecture, and SME availability.
  • Drive responsible AI delivery through human-in-the-loop checkpoints and appropriate brand, legal, compliance, privacy, security, and governance controls.
  • Oversee pilots, proofs of concept, testing, release readiness, implementation, and operational handoff.
  • Lead adoption and change-management activities, including communications, training, champion engagement, feedback loops, and adoption measurement.
  • Provide clear executive-level reporting on progress, decisions, risks, issues, dependencies, and escalations.
  • Facilitate gateway reviews and ensure decisions, assumptions, actions, and approvals are documented and traceable.

📊 Measures of Success

  • AI initiatives have clearly defined scope, ownership, milestones, dependencies, acceptance criteria, and measurable KPIs.
  • Delivery progresses predictably from activation and scoping through build, pilot, proof, and operational handoff.
  • Risks, issues, data gaps, resource constraints, and dependencies are identified and addressed early.
  • AI solutions are adopted responsibly with appropriate human oversight, documented controls, stakeholder confidence, and operational support readiness.

✅ Required Qualifications

  • Significant experience leading complex technology, data, digital, automation, or AI-enabled initiatives from definition through implementation.
  • Proven ability to manage multiple concurrent workstreams with competing priorities and changing requirements.
  • Strong project planning, dependency management, risk/issue management, status reporting, facilitation, and executive communication skills.
  • Experience working with business owners, technical delivery teams, architecture, data teams, vendors, and SMEs.
  • Practical understanding of AI delivery concepts, including data quality, integrations, experimentation, solution validation, privacy, security, and responsible AI governance.
  • Experience defining KPIs, acceptance criteria, benefits measures, and adoption plans.
  • Ability to work independently, exercise sound judgment, and create structure in ambiguous environments.
  • Comfortable collaborating across U.S. and Ireland time zones .
  • Preferred: PMP, PRINCE2, Agile, Scrum, SAFe, or comparable project/product delivery certification.
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