The North Face: Manager, Product Data & Technology Transformation

VF Corporation•Denver, CO
•$125,280 - $156,600

About The Position

The Manager, Product Data & Technology Transformation supports product data governance and technology and process improvement initiatives across The North Face product groups. Reporting to the Director, Product Management – Go To Market, this role partners with cross-functional teams and regions to support consistent execution of data standards, processes, and system adoption. The role combines product data and technology expertise to identify business needs, document requirements, support solution development, and coordinate implementation and adoption. It connects business teams with technology partners, translating technical capabilities into practical solutions that improve data accuracy, process efficiency, and user experience. As part of The North Face Go To Market Transformation, the manager supports product data and technology initiatives using repeatable approaches to test, implement, measure, and continually improve capabilities across product creation and commercial execution.

Requirements

  • Strong working knowledge of PLM systems and end-to-end merchandising and product-creation workflows.
  • Experience executing data governance processes, applying established standards, conducting data-quality audits, and resolving or escalating data issues in a complex, cross-functional environment.
  • Advanced Excel and Microsoft 365 skills, with hands-on experience using workflow automation tools such as Airtable, Power Automate, or similar.
  • Strong analytical and structured problem-solving skills, with the ability to translate data and business needs into clear recommendations and actions.
  • Ability to coordinate cross-functional initiatives, manage dependencies, and build effective working relationships across teams without direct authority.
  • Strong organizational and project coordination skills, with the ability to manage multiple priorities and follow initiatives through implementation.
  • Excellent written and verbal communication skills in English, with the ability to explain complex topics clearly and present findings and recommendations to stakeholders and leadership.

Nice To Haves

  • Experience in apparel, outdoor, or consumer goods.
  • Experience with Flex PLM; Flex is the preferred PLM system.

Responsibilities

  • Execute and support product data governance activities, including data-quality audits, compliance monitoring, issue identification, and escalation to help ensure data accuracy, completeness, and consistency across product groups.
  • Partner with VF corporate data governance teams and The North Face stakeholders to implement and maintain established standards for VF-owned and The North Face-specific product attributes.
  • Coordinate the global Late Add & Change process in alignment with seasonal buy cycles, including communication, issue tracking, reporting, and follow-up.
  • Serve as a key resource for The North Face Product Attributes and support change adoption through training, communication, documentation, and stakeholder support.
  • Provide training, documentation, and adoption support across Merchandising, Design, Development, Planning, and Materials for systems including Flex PLM, Vibe IQ, and DAM.
  • Identify workflow improvement opportunities, document current-state challenges, and support implementation of approved solutions that reduce manual effort, improve data quality, and increase operational efficiency.
  • Gather, validate, and document The North Face business requirements and translate them into clear inputs for VF technology teams, providing analysis and recommendations to support prioritization.
  • Coordinate with functional, brand, technology, and regional stakeholders on scope, timelines, deliverables, dependencies, and adoption, escalating risks or decisions requiring broader authority when needed.
  • Track agreed KPIs and prepare reporting related to data governance health, process compliance, system adoption, time savings, data quality, and operational efficiency.
  • Collect stakeholder feedback, monitor outcomes, and translate findings into clear recommendations for continuous improvement.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k)
  • Extensive development and growth opportunities
  • Competitive compensation package
  • Potential additional compensation awards, which may include an annual incentive plan, sales incentive, or commission
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