AI Program Manager

A.P. Moller - Maersk•Charlotte, NC

8d•$110,000 - $130,000•Onsite

About The Position

This role sits at the intersection of strategic program management and AI-native product management, managing the identification, prioritization, and delivery of high-impact initiatives across Maersk Ground Freight. You will manage a structured portfolio (backlog) of AI-enabled initiatives, translating market insights and operational needs into scalable products, automation solutions, and programs that accelerate growth, efficiency, and innovation. The role blends strategic thinking, hands-on product ownership, and program execution, ensuring ideas move rapidly from concept to measurable business impact.

Requirements

High School Diploma or equivalent required
5-7+ years across product management, program management, strategy, technology
Proven experience managing complex backlogs or portfolios of initiatives
Strong product mindset with experience defining roadmaps, MVPs, and scaling solutions
Solid understanding of AI/automation use cases and modern development ecosystems (e.g., copilots, low-code, agentic workflows)
Strong analytical skills; comfortable with data modeling, forecasting, and business case development
Ability to translate ambiguous problems into structured initiatives and shipped solutions
Experience working cross-functionally across business and technology teams
Strong stakeholder management and executive communication skills

Nice To Haves

Advanced or Bachelor’s Degree in related field preferred
Preferred Experience in logistics, supply chain, or freight
Familiarity with TMS, pricing systems, or operational platforms
Hands-on experience prototyping or working with AI-enabled tools

Responsibilities

Own and Prioritize a Strategic + AI Product Backlog
Manage a backlog of strategic initiatives, AI products, and automation opportunities
Translate market insights, operational gaps, and commercial needs into prioritized product and program roadmaps
Balance short-term impact with long-term capability building
Manage AI-Native Product Development
Collaborate on product vision, business cases, and success metrics for AI-enabled tools, copilots, and internal platforms
Lead MVP-to-production lifecycle using modern AI-assisted development approaches
Identify opportunities across AI, automation, and workflow ecosystems
Lead End-to-End Program Execution
Structure and deliver complex, cross-functional programs with clear milestones, ownership, and measurable outcomes
Ensure alignment across Product, Engineering, Operations, Commercial, and Finance
Translate strategy into executable plans and track delivery against impact
Generate Insights and Shape Strategy
Develop market, customer, and operational insights to identify growth and efficiency opportunities
Use data, analytics, and predictive models to guide prioritization and decision-making
Identify structural gaps and step-change opportunities across products and workflows
Drive Commercial and Operational Impact
Enable AI-powered use cases across pricing, sales, operations, and customer experience
Support commercial teams with insights, tools, and product enhancements
Improve scalability through process standardization, automation, and workflow simplification
Build Scalable Product Mechanisms
Establish repeatable frameworks for experimentation, validation, and deployment
Drive adoption of AI tools, copilots, and automation across teams
Influence future operating models enabled by AI-native product development