Note: The job is a remote job and is open to candidates in USA. DSV - Global Transport and Logistics is seeking a Director, Applied AI to lead the development and deployment of AI capabilities across its North America operations. This role involves architecting AI solutions, establishing engineering practices, and ensuring responsible AI governance while driving measurable improvements in logistics 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.
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