Senior Manager, Data Science & AI
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Job Description
Leading AI-driven capabilities in supply chain for Crocs. Translating business priorities into AI use cases and delivering strategic solutions.
Responsibilities:
- 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
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