Note: The job is a remote job and is open to candidates in USA. DSV - Global Transport and Logistics is the world's 3rd largest supplier of global solutions within transport and logistics. The Director, Applied AI – North America, will lead the development and deployment of AI capabilities across various business functions, establishing governance practices and driving measurable improvements in operations.
Responsibilities
- Identify, prioritize, and quantify high-value AI use cases across Operations, BCM, Engineering, Shared Services, P+O, and other functions; build the multi-year AI roadmap and align it to enterprise growth, savings, and transformation targets
- Personally design, build, and ship AI solutions, including LLM-based agents, fine-tuned models, retrieval pipelines, and intelligent automations integrated into the Microsoft 365 ecosystem, DSV’s WMS, TMS, and adjacent operational systems
- Establish and own the North America AI engineering practices, including model selection, evaluation, prompt and agent design standards, MLOps, observability, and cost control
- Define and operate the AI governance, risk, security, and responsible-AI framework for North America in alignment with DSV global policy; represent North America in DSV's global AI governance bodies
- Construct rigorous business cases for each AI investment with clear ROI, baseline measurement, and post-deployment value tracking; partner with Operations Finance to validate realized savings
- Translate business problems articulated by functional and operational leaders into well-scoped AI solutions; act as the primary internal consultant for AI feasibility, build-vs-buy, and vendor selection decisions
- Evaluate, pilot, and operationalize commercial AI capabilities embedded in the existing technology stack, including Microsoft 365 Copilot, Coupa AI, and AI features in WMS, TMS, and ERP platforms; negotiate value where appropriate
- Build and lead a small, high-performing team of AI builders over time; recruit, develop, retain, and motivate technical talent capable of operating in a complex matrix environment
- Establish KPIs and OKRs that track adoption, model performance, and realized business value; report progress to North America executive leadership and contribute to global AI reporting
- Partner closely with IT, Information Security, Legal, Privacy, P+O, and Finance to ensure deployments meet enterprise standards for data handling, access control, and regulatory compliance
- Develop and deliver targeted enablement to functional leaders and operators so AI tools are adopted, trusted, and used at scale
- Operate fluently across executive (C-Level) and operator (warehouse, procurement, real estate) audiences, modulating depth and language to fit
Skills
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or an equivalent quantitative field is required
- Minimum 10 years of progressive professional experience, with a minimum of 5 years building and shipping production AI/ML systems and a minimum of 3 years in a senior or lead capacity within a matrixed enterprise
- Demonstrated track record of personally shipping AI solutions to production and quantifying realized business value
- Strong, current proficiency in Python and modern AI/ML libraries (e.g., PyTorch, Hugging Face Transformers, scikit-learn)
- Hands-on experience with leading LLM ecosystems (OpenAI, Anthropic, Azure AI Foundry); agent frameworks (e.g., LangGraph, AutoGen, MCP); retrieval architectures and vector databases
- Working knowledge of model fine-tuning, evaluation methodologies, and MLOps tooling
- Strong fluency in the Microsoft 365 ecosystem, including Copilot, Power Platform, Microsoft Fabric, and Azure AI services
- Familiarity with cloud platforms (Azure preferred), SQL, and modern data warehousing patterns
- English (reading, writing, and verbal)
- Advanced quantitative skills, including statistics, linear algebra, and the financial mathematics required to construct rigorous business cases
- Ability to walk into an ambiguous business problem, understand it deeply, and propose pragmatic AI and non-AI solutions
- Demonstrated ability to balance executive-level strategic framing with hands-on technical delivery
- Excellent written, verbal, and visual/presentation communication skills, including the ability to brief senior executives and translate technical concepts for non-technical audiences
- Strong commercial instincts; ROI-oriented; able to kill ideas that do not pencil out
- Ability to influence and build trust across multiple levels and functions in a complex, matrixed global organization
- Comfortable operating with significant ambiguity and limited precedent; bias to action
- Sound judgment regarding AI risk, including data privacy, intellectual property, model reliability, and reputational exposure
- Capable of recruiting, mentoring, and developing technical talent
- Master's or PhD in a quantitative field preferred
- Experience in third-party logistics, supply chain, transportation, or another complex multi-site operating environment is preferred but not required
- Experience integrating AI with enterprise platforms, WMS, TMS, or ERP systems
- Prior experience representing a business unit or region in enterprise-wide AI or technology governance
- Relevant cloud or AI certifications (e.g., Microsoft Azure AI Engineer, AWS Machine Learning, Google Cloud ML) are desirable
- Active participation in the AI/ML practitioner community (publications, open-source contributions, speaking) is a plus
Benefits
- Information regarding DSV’s benefits offerings, including eligibility, coverage options, and plan details, is available through the DSV Benefits Showcase.
- Benefits, programs, and eligibility may vary by location and division in accordance with applicable state and local laws.
Company Overview
At DSV, we keep supply chains flowing in a world of change. It was founded in 1976, and is headquartered in Hedehusene, Hovedstaden, DNK, with a workforce of 10001+ employees. Its website is http://www.dsv.com.