AI MARKETING PROJECT MANAGER

Note: This role is completely remote; however the preference will be for candidate who are based out of NY and willing to come 2 to 3 days a week onsite in office!

Duration: The duration of this project is 3 to 6 months initially with possible chances of extension based on project needs!

IMP: The person will act as the bridge between the Marketing business owner and the AI development team . The candidate needs to have experience with Digital marketing or Content management web and social media marketing or Marketing related Projects. This is not an AI engineer role . The candidate needs enough AI understanding to identify use cases challenge assumptions manage governance/privacy/security considerations and drive deliverybut the actual development will be handled by the engineering/technical teams.

Role Summary

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 that initiatives move from idea and scoping through build pilot adoption and measurable business value.

Key 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.

Measures of Success

• Priority AI initiatives have clear scope owners 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 cross-team dependencies are identified early and resolved or escalated decisively.
• AI solutions are adopted responsibly with human oversight documented controls strong stakeholder confidence and appropriate support readiness.

Required Qualifications and Experience

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

This job description describes the primary responsibilities and qualifications of the role; it is not intended to be an exhaustive list of all duties.