Senior Director, Data & AI – Americas

DP World•Charlotte, NC

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 Senior Director, Data & AI is responsible for building and operating regional data and artificial intelligence capabilities that deliver measurable business value across DP World Americas. This role owns the practical application of data, analytics, and AI, working closely with business leaders, Technology domain leaders, and the Regional Transformation team to identify, prioritize, and operationalize real-world use cases that improve decision-making, efficiency, and performance. The focus of this role is disciplined execution and adoption, supported by targeted experimentation and test-and-learn approaches that are explicitly tied to measurable business outcomes. Data and AI are capabilities that are key enablers and embedded into business workflows and transformation initiatives.

Requirements

Bachelor’s degree in Technology, Data, Engineering, Analytics, or related field; advanced degree preferred
12–15+ years of experience in data, analytics, or technology leadership roles within complex enterprises
Demonstrated experience delivering analytics and AI solutions into production environments
Strong ability to translate business problems into data-driven solutions
Strong business acumen and outcome orientation
Pragmatic, grounded approach to AI and analytics
Ability to partner effectively with transformation and PMO organizations
Comfortable operating with ambiguity while delivering tangible results
Clear communicator who can demystify data and AI for business leaders

Nice To Haves

Experience in logistics, supply chain, operations, or asset-intensive environments preferred

Responsibilities

Establish and own the regional Data & AI capability for the Americas, aligned with Group standards and strategy
Define a clear, pragmatic roadmap for analytics and AI adoption focused on business outcomes
Ensure data and AI capabilities are scalable, secure, and fit for purpose in partnership with Core Platforms and Enterprise Systems
Partner with business leaders and the Regional Transformation team / Business PMO across Ports & Terminals, Contract Logistics, Freight Forwarding, and Corporate functions to identify high-value data and AI use cases
Prioritize use cases based on business impact, feasibility, and readiness — not technology novelty
Lead delivery of data and AI solutions into production environments and operational workflows
Drive adoption by ensuring solutions are usable, understood, and embedded into day-to-day decision-making
Work closely with the Regional Transformation team and Business PMO (Carey Boone’s organization) to align data and AI initiatives to approved transformation programs and business priorities
Support transformation initiatives by embedding data, analytics, and AI capabilities into defined operating model changes and business outcomes
Ensure data and AI initiatives flow through established transformation governance, prioritization, and value-tracking mechanisms
Partner on benefit realization by defining measurable outcomes and supporting adoption within transformation initiatives
Consolidate and mature regional analytics and reporting capabilities, including dashboards and self-service analytics
Establish standards for data definitions, metrics, and reporting consistency in coordination with business stakeholders
Ensure analytics solutions support operational, commercial, and executive decision-making
Own the regional application of AI and advanced analytics, including predictive, optimization, and automation use cases
Translate business problems into practical data and AI solutions in collaboration with domain experts
Ensure AI solutions are explainable, governed, and aligned with regulatory and ethical expectations
Maintain a disciplined, outcome-driven approach to AI delivery and usage
Partner with Group and Enterprise teams to execute data governance, quality, and stewardship practices in the region
Ensure data used for analytics and AI is reliable, trusted, and appropriate for decision-making
Support compliance with data privacy, security, and regulatory requirements
Work closely with Core Platforms to ensure appropriate infrastructure, tooling, security, and operational support for data and AI workloads
Partner with Enterprise Systems and domain Technology leaders to integrate data and AI solutions into existing platforms
Enable business and Technology teams to responsibly consume and extend data and AI capabilities
Build and lead a small, high-impact regional team focused on analytics, data engineering, and applied AI
Develop internal capability through coaching, standards, and reusable delivery patterns
Use partners selectively to accelerate delivery where appropriate