Senior Manager, Analytics & AI

Crocs, Inc.

Senior Manager, Supply Chain Data Science & AI leading development of AI capabilities across global supply chain. Ensuring solutions deliver measurable operational impact while mentoring data scientists.

Posted 5/21/2026full-timeRemote • Colorado • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AzurePythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningdata sciencePythonSQLAI use casesmodel developmentdeploymentmonitoringanalyticslarge-scale data

Soft Skills

communicationmentoringinfluencingproblem framingstakeholder managementleadershiporganizational skillscollaborationadaptabilitystrategic thinking