Senior Manager, Data Science & AI

Overview

Crocs is seeking a Senior Manager, Supply Chain Data Science & AI to lead the development and scaling of AI‑driven capabilities across our global supply chain. This role will drive the evolution from reporting and dashboards to predictive, prescriptive, and AI‑assisted decision‑making embedded into day‑to‑day operations. This leader will own the end‑to‑end Data science & AI portfolio for Supply Chain, translating business priorities into a structured pipeline of AI use cases, guiding those ideas from concept through deployment, and ensuring solutions deliver measurable operational impact. The role requires a strong combination of hands‑on data science expertise, platform and product thinking, and enterprise leadership. The ideal candidate can move seamlessly between strategy and execution while building scalable, governed AI capability.

What You'll Do

• Build and scale enterprise AI and machine learning capabilities across supply chain functions including logistics, distribution, planning, sourcing, and labor.
• Translate business problems into well‑defined AI use cases, with clear success metrics and operational outcomes.
• Define and operationalize standard frameworks for AI use‑case intake, prioritization, development, deployment, and lifecycle management.
• Lead the end‑to‑end delivery of ML‑driven solutions, from problem framing and model development through production deployment and adoption tracking.
• Own and continuously evolve the Supply Chain Data Science & AI roadmap, aligned with business priorities, AOP commitments, and long‑term capability goals.
• Partner with data engineering, BI, and IT teams to embed AI solutions into dashboards, workflows, and operating processes, not standalone models.
• Lead AI solution design using Microsoft technologies, including Azure AI, Azure Foundry, Copilot, and Power Platform.
• Drive adoption of GenAI, copilots, and AI agents in a secure, scalable, and governed manner.
• Evaluate, pilot, and integrate external AI tools and vendors, ensuring fit with enterprise data architecture, security standards, and long‑term scalability.
• Establish best practices for model development, deployment, monitoring, explainability, and reuse, enabling repeatable delivery.
• Mentor and develop analysts and data scientists, raising overall AI maturity and execution rigor across the organization.
• Communicate progress, risks, and outcomes to senior stakeholders using clear, business‑focused language.

What You'll Bring to the Table

Required

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Supply Chain, or a related field.
• 8+ years of experience in data science, machine learning, or advanced analytics roles.
• Proven experience deploying machine learning solutions in production environments, not just proofs of concept.
• Strong programming skills in Python and proficiency in SQL.
• Experience working with large‑scale data, modern ML frameworks, and enterprise analytics platforms.
• Demonstrated application of analytics in supply chain, logistics, operations, or planning domains.
• Strong understanding of the AI/ML lifecycle, including deployment, monitoring, governance, and ongoing optimization.
• Ability to translate complex technical concepts into clear business outcomes and influence cross‑functional stakeholders.
• Experience leading complex initiatives in a global, matrixed enterprise environment.

Nice to Have

• Experience with the Microsoft AI ecosystem, including Azure AI, Azure Foundry, Copilot, and Power Platform.
• Exposure to Generative AI, including LLM‑based solutions, prompt design, or AI‑assisted workflows.
• Familiarity with AI orchestration, agent‑based systems, or human‑in‑the‑loop automation.
• Experience working with external AI vendors or SaaS AI platforms.
• Knowledge of supply chain systems such as WMS, TMS, ERP, or planning tools.
• Background in retail, manufacturing, or logistics‑driven environments.