[Remote] Director, Applied AI

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.ResponsibilitiesIdentify, 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 targetsPersonally 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 systemsEstablish and own the North America AI engineering practices, including model selection, evaluation, prompt and agent design standards, MLOps, observability, and cost controlDefine 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 bodiesConstruct rigorous business cases for each AI investment with clear ROI, baseline measurement, and post-deployment value tracking; partner with Operations Finance to validate realized savingsTranslate 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 decisionsEvaluate, 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 appropriateBuild 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 environmentEstablish KPIs and OKRs that track adoption, model performance, and realized business value; report progress to North America executive leadership and contribute to global AI reportingPartner closely with IT, Information Security, Legal, Privacy, P+O, and Finance to ensure deployments meet enterprise standards for data handling, access control, and regulatory complianceDevelop and deliver targeted enablement to functional leaders and operators so AI tools are adopted, trusted, and used at scaleOperate fluently across executive (C-Level) and operator (warehouse, procurement, real estate) audiences, modulating depth and language to fitSkillsBachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or an equivalent quantitative field is requiredMinimum 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 enterpriseDemonstrated track record of personally shipping AI solutions to production and quantifying realized business valueStrong, 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 databasesWorking knowledge of model fine-tuning, evaluation methodologies, and MLOps toolingStrong fluency in the Microsoft 365 ecosystem, including Copilot, Power Platform, Microsoft Fabric, and Azure AI servicesFamiliarity with cloud platforms (Azure preferred), SQL, and modern data warehousing patternsEnglish (reading, writing, and verbal)Advanced quantitative skills, including statistics, linear algebra, and the financial mathematics required to construct rigorous business casesAbility to walk into an ambiguous business problem, understand it deeply, and propose pragmatic AI and non-AI solutionsDemonstrated ability to balance executive-level strategic framing with hands-on technical deliveryExcellent written, verbal, and visual/presentation communication skills, including the ability to brief senior executives and translate technical concepts for non-technical audiencesStrong commercial instincts; ROI-oriented; able to kill ideas that do not pencil outAbility to influence and build trust across multiple levels and functions in a complex, matrixed global organizationComfortable operating with significant ambiguity and limited precedent; bias to actionSound judgment regarding AI risk, including data privacy, intellectual property, model reliability, and reputational exposureCapable of recruiting, mentoring, and developing technical talentMaster's or PhD in a quantitative field preferredExperience in third-party logistics, supply chain, transportation, or another complex multi-site operating environment is preferred but not requiredExperience integrating AI with enterprise platforms, WMS, TMS, or ERP systemsPrior experience representing a business unit or region in enterprise-wide AI or technology governanceRelevant cloud or AI certifications (e.g., Microsoft Azure AI Engineer, AWS Machine Learning, Google Cloud ML) are desirableActive participation in the AI/ML practitioner community (publications, open-source contributions, speaking) is a plusBenefitsInformation 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 OverviewAt 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.