Senior Manager, Data Science & AI

🔥 0 minutes ago

⛰️ Colorado – Remote

⛰️ Colorado – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Crocs, Inc.

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2002

🛒 Retail

👗 Fashion

🛍️ eCommerce

Retail • Fashion • eCommerce

Crocs, Inc. is a renowned American footwear company that is best known for its iconic foam clogs. The company offers a wide range of casual footwear for men, women, and children, including sandals, slippers, and boots. Crocs also features various themed decorations called Jibbitz that allow customers to personalize their shoes. The brand prioritizes comfort and practicality in its designs, making it popular among diverse age groups. With widespread availability, Crocs continues to innovate in footwear for both everyday and specialized environments, such as nursing and hospitality.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events