Manager, AI Program

DP World•Charlotte, NC

4d•Hybrid

About The Position

We are the leading provider of worldwide smart end-to-end supply chain & logistics, enabling the flow of trade across the globe. Our comprehensive range of products and services covers every link of the integrated supply chain – from maritime and inland terminals to marine services and industrial parks as well as technology-driven customer solutions. The Manager, AI Program supports the coordination and execution of enterprise AI initiatives, ensuring alignment between business priorities, data and technology teams, and governance requirements. The role focuses on managing program structures, tracking milestones and value realization, and facilitating collaboration across multiple stakeholders to enable the successful delivery and adoption of AI solutions. Working within established strategies and frameworks, the position helps ensure AI initiatives progress through defined lifecycle stages while meeting organizational standards for responsible and effective AI implementation. We are seeking a results-driven Manager, AI Program to support the planning, execution, and governance of enterprise AI initiatives. This role will manage cross-functional AI programs, ensuring alignment with business objectives, responsible AI standards, and measurable value realization. The ideal candidate blends program management expertise with an understanding of AI/ML lifecycles, data ecosystems, and change management in complex organizations.

Requirements

Bachelor’s degree in Business, Technology, Computer Science, Data Science, or related field
5-7 years of experience in program or project management within technology-driven environments
Experience leading data, analytics, AI, or digital transformation initiatives
Strong understanding of AI/ML concepts and data ecosystems
Demonstrated ability to manage cross-functional enterprise programs
Experience with Agile, Scrum, or hybrid delivery methodologies

Nice To Haves

Experience working with AI/ML development teams or MLOps environments
Familiarity with cloud platforms (Azure, AWS, GCP) and AI tooling ecosystems
Knowledge of responsible AI frameworks and model governance practices
PMP, PgMP, Agile, or equivalent certifications

Responsibilities

AI PROGRAM STRATEGY & EXECUTION Manage end-to-end AI programs, from opportunity identification to production deployment and scaling
Translate strategic objectives into a structured AI roadmap with clear milestones, budgets, and success metrics
Prioritize AI use cases based on feasibility, impact, risk, and ROI
Manage program budgets, resources, timelines, and dependencies
CROSS-FUNCTIONAL LEADERSHIP Coordinate across Data Science, Engineering, IT, Security, Legal, Risk, Operations, and Business Units
Support clear governance structures, decision forums, and escalation pathways
Serve as the primary point of accountability for AI program delivery
AI DELIVERY & LIFECYCLE MANAGEMENT Support governance, milestones, budget discipline, and executive reporting
Ensure AI initiatives move through defined lifecycle stages in coordination with Data & AI and domain Technology teams
Value tracking, transformation alignment, and benefit realization
RESPONSIBLE AI & RISK MANAGEMENT Ensure AI programs adhere to ethical standards, regulatory requirements, and internal governance policies
Support integration of model risk management, bias mitigation, explainability, and auditability into program design
Partner with Risk and Compliance to proactively address AI-related risks
VALUE REALIZATION & PERFORMANCE TRACKING Track KPIs for AI initiatives aligned to business outcomes (efficiency, cost savings, revenue growth, risk reduction)
Monitor and report program performance to executive leadership
Identify continuous improvement opportunities and optimization of AI solutions
CHANGE MANAGEMENT & ADOPTION Manage stakeholder engagement and communications to drive AI adoption
Develop training and enablement strategies to embed AI capabilities into operations
Foster a culture of data-driven decision-making and innovation