Sr. Director, AI

Odyssey•Charlotte, NC

5d•Hybrid

About The Position

Odyssey Logistics is a global logistics and supply chain partner helping businesses optimize performance through fully integrated, end-to-end solutions. We connect transportation, technology, and expertise across a broad network of services including 3PL and 4PL managed services, multimodal and intermodal transport, warehousing, trucking, Jones Act Ocean, and customs brokerage, ensuring goods move reliably, efficiently, and intelligently around the world. Today, Odyssey supports more than 6,000 customers globally, delivering scalable, data driven solutions across complex supply chains. What started with a single client has grown into a dynamic, evolving organization focused on performance, precision, and long-term partnership. Our work is complex, fast moving, and highly collaborative. Success here requires people who think strategically, operate with urgency, and navigate across functions to solve real business challenges. We value individuals who take ownership, challenge the status quo, and turn insight into action. Our culture is grounded in five core values: Win Together, Innovate Boldly, Drive Results, Customer Centric, and Guide with Care. These are not just principles; they shape how we make decisions, partner with customers, and show up for each other. At Odyssey, you are not just part of a company; you are part of building what comes next.

Requirements

Currently at Director level or above, with senior management experience
Hands-on experience architecting and scaling modern AI systems into production, ideally on a major cloud AI platform (e.g., AWS Bedrock, Azure AI Foundry, or Vertex AI)
A track record of turning pilots into production platforms with measurable business impact and outcomes
Proven collaboration across both business and IT functions - equally credible with business unit leaders and with engineering teams, and able to move fluidly between the two.
Program operating discipline - experience running a real pipeline: intake, prioritization, triage, discard weak ideations early on, and tracking value through production.
Strong communication skills - able to translate technical reality into plain business language
Demonstrated ability to lead through influence across a matrixed organization
Experience in logistics, transportation, freight, or another asset-heavy industry
Experience standing up a new function from scratch; or experience building an AI or data governance model in a complex organization.

Responsibilities

Lead and inspire a cross-divisional network of AI leads, fostering a culture of collaboration, experimentation, and disciplined execution.
Set the mandate, rhythm, and accountability for AI leads across operations, commercial, finance, and technology, helping them grow their AI fluency and impact.
Build the long-term internal AI capability program that currently relies on outside partners, by attracting and developing talent aligned with organization goals and values.
Set enterprise AI priorities across predictive, agentic, generative, and simulation use cases, aligning the roadmap with business objectives and saying no to the rest.
Collaborate closely across business and IT functions, partnering with business unit leaders to identify use cases and with the technology organization to build them, delivering high-quality solutions on time and within budget.
Own the enterprise AI governance model – establish processes, sanctioned tools, data handling rules, and use-case review - balancing risk against speed and ensuring humans stay accountable for every AI-assisted outcome.
Run a disciplined use-case pipeline with robust criteria, converting the strongest ideas into proven platform wins with measurable business impact - production, not pilots.
Stay hands-on with emerging AI models, tooling, and techniques, incorporating relevant innovations and pressure-testing what is realistically buildable versus hype.
Identify and start the highest-value transformation opportunities - workflows redesigned around AI, not just sped up by it - treating the killing of a weak idea early as a health signal, not a failure.
Collaborate closely with key stakeholders, including executives and business unit presidents, to gather requirements, prioritize initiatives, and communicate progress.
Report progress and value in the language of business outcomes - dollars and hours, not adoption percentages alone - fostering transparency and alignment across the organization.
Serve as a trusted advisor and subject matter expert on AI, translating technical reality into plain business language to inform decision-making at every level.