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Sr. Manager, Corporate & Wholesale Analytics & Data Product

Job in Broomfield, Broomfield County, Colorado, 80020, USA
Listing for: Crocs, Inc.
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineer, Business Systems/ Tech Analyst
Job Description & How to Apply Below

Sr. Manager, Corporate & Wholesale Analytics & Data Product

At Crocs, Inc., every career offers a chance to make a real impact. No two journeys look the same. And that's exactly how we like it. Whether you’re welcoming customers into our stores, collaborating with global teams at our headquarters, or keeping operations moving at our distribution centers, your impact is real and valued. At Crocs, Inc. you’re not expected to fit a mold.

You’re encouraged to break it and create something better.

Overview

The Senior Manager, Corporate & Wholesale Analytics & Data Products, for Crocs, Inc is within the Global Information Technology organization and is crucial to ensuring that Crocs, Inc runs as a data‑driven enterprise. The ideal candidate is a customer‑obsessed leader with a strong background in building and deploying impactful enterprise data, insights, and intelligence products. This leader will have a versatile background collaborating extensively with business functions across a commercial enterprise.

This leader will drive our data strategy execution with emphasis on delivering data & insights as products and services, driving self‑service analytics, and democratizing data & insights through intelligent agents with a focus on our corporate functions – including Finance, Procurement, HR, and Legal. This leader will also oversee data & analytics partnership for our wholesale business teams across the globe.

What

You'll Do
  • Serve as a trusted technical and product expert at Crocs, Inc., leading the adoption, continuous improvement, and evaluation of our data and insights assets/products.
  • Hands‑on application development of rapid prototypes, as well as scaled data and insights products, ensuring compliant use of data assets.
  • Work closely with multi‑functional teams including IT and various business teams to identify, refine and prioritize high impact data and insights use cases across the enterprise.
  • Develop wireframes and data flow diagrams and communicate in ways that can be consumed by different levels of the organization with varying degrees of detail to ensure alignment up and down with the same understanding.
  • Ensure accurate and sufficient documentation of work artifacts including metrics definitions, business objectives, success criteria for defined products, etc. aligned with business stakeholders.
  • Design and implement scalable solutions that support both US and international operations. Collaborate with multi‑functional teams to understand and address regional needs and challenges.
  • Ensure all systems and processes adhere to global industry standards and regulatory requirements, particularly concerning data security and privacy.
  • Provide guidance and mentorship to junior team members, including external vendor resources, fostering a culture of continuous learning and improvement.
  • Identify and mitigate risks across the end‑to‑end solution where subject matter expertise is required.
  • Develop strong relationships with regional leaders, external partners, and vendors.
What You'll Bring to the Table
  • 8+ years of experience in data analytics or data product management roles with a bachelor’s degree or 5+ years of experience with a graduate degree.
  • 3+ years of experience leading/managing data analytics or data product teams.
  • Proven experience in designing, implementing and deploying scaled data and insights products across the enterprise, with functional experience in some of the following: finance, procurement, planning, merchandising, supply chain, wholesale operations, retail operations, marketplaces, digital, marketing, etc.
  • Expertise in enterprise data warehouses such as Snowflake and visualization tools such as Power BI.
  • Deep expertise in SQL. Additional programming languages, such as Python, a plus.
  • Familiarity with AI/ML and GenAI is a plus.
  • Versatile background in retail, direct to consumer, fashion/apparel, or footwear businesses.
  • Excellent problem‑solving and analytical skills with a strategic mindset, and a proven track record to analyze sophisticated problems and break them down into logical, actionable parts.
  • Ability to work in a fast‑paced, dynamic environment with multiple priorities, while partnering…
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