Vans: Manager, Search & AI Enablement

VF CorporationCosta Mesa, CA

About The Position

Vans, a brand rooted in the authentic lifestyle of skateboarding, is driven by its mission to inspire and empower individuals to live "Off The Wall," embracing freedom, non-conformity, and relentless progression. The company constantly strives to innovate and push culture forward with its global communities, drawing inspiration from future generations. The Manager, Search & AI Enablement will be a key leader in this mission, responsible for the strategy and execution of search visibility (SEO & GEO), product data attribution, and AI-driven experimentation across both B2B and DTC eCommerce channels. This role reports directly to the Head of eCommerce and is critical for enhancing discoverability, ensuring data integrity, and developing scalable intelligence to accelerate revenue growth and operational efficiency. The Manager will operate at the intersection of Marketing, Product, Data, Technology, and Sales, translating complex search and data signals into actionable insights, building foundational data pipelines, and piloting AI-powered capabilities to improve decision-making and overall performance.

Requirements

  • Deep understanding of SEO and organic discoverability in eCommerce environments
  • Experience working with large‑scale product data and attribution frameworks
  • Proven ability to lead cross‑functional initiatives in matrixed organizations
  • Strong analytical and storytelling skills; ability to translate data into action
  • Comfortable operating in ambiguity and driving structured experimentation
  • 8+ years of experience and professional achievements

Nice To Haves

  • Experience supporting both B2B and DTC commerce models
  • Hands‑on experience piloting or scaling AI / machine‑learning‑enabled solutions
  • Familiarity with analytics platforms (e.g., GA4), SEO tools, product information systems, and experimentation frameworks
  • Background in retail, apparel, footwear, or consumer brands
  • People management or indirect leadership experience

Responsibilities

  • Own global organic search and discoverability strategy across DTC and B2B platforms, driving technical SEO, content optimization, and regional execution to improve visibility, traffic quality, and revenue impact.
  • Partner cross‑functionally to improve product discoverability, collaborating with Brand, Content, Product, and Merchandising teams to optimize product detail pages, taxonomy, metadata, and content frameworks.
  • Lead product data quality and attribution enablement, strengthening data completeness, consistency, and governance across systems to connect product content, search exposure, and sales outcomes.
  • Translate complex data into actionable insights, enabling commercial, marketing, and leadership teams to make informed decisions through clear reporting, attribution models, and performance narratives.
  • Identify, pilot, and scale AI‑powered use cases across search optimization, product content, insights generation, and operational efficiency, serving as the business lead for experimentation and adoption.
  • Measure and optimize business impact, tracking ROI, adoption, and performance of search, data, and AI initiatives; sunsetting low‑value efforts while scaling proven solutions.
  • Act as a strategic cross‑functional leader and influencer, supporting global and regional teams with shared frameworks, playbooks, and best practices, and managing external partners and platforms related to search, analytics, and AI.

Benefits

  • This position is eligible for additional compensation awards that may include an annual incentive plan, sales incentive, or commission potential.
  • You can review a general overview of each benefit program offered, including this year's medical plan rates on www.MyVFbenefits.com and by clicking Looking to Join VF? Detailed information on your benefits will be provided during the hiring process.

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What This Job Offers

Job Type

Full-time

Career Level

Manager

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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