Senior Manager, Analytics & AI

Artificial IntelligenceArtificial IntelligenceFull TimeRemoteSeniorTeam 5,001-10,000Since 2002H1B No SponsorCompany SiteLinkedIn

Location

Colorado

Posted

8 days ago

Salary

0

Seniority

Senior

Bachelor Degree8 yrs expEnglishAzurePythonSQL

Job Description

Senior Manager, Analytics & AI

Crocs, Inc.

• 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.

Job 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

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

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