Director, Customer Data Engineering

Gap, Inc.

$135K — $160K *
Retail & Consumer Goods
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years in customer data management and marketing technology integration
  • Extensive background in managing customer data specifically for fashion retailers
  • Experience in data engineering and operationalizing data privacy initiatives
  • Proficient with cloud platforms like Azure, GCP, or AWS
  • Ability to navigate and work with global teams across time zones
  • Strong communication skills, both verbal and written
  • Proven problem solver with a customer-focused mindset

Responsibilities

  • Drive the integration of data plans with internal teams and external vendors
  • Implement processes for robust stewardship of data and metadata
  • Collaborate to identify and prototype innovative data opportunities
  • Ensure the quality of the core data set and improve it continuously
  • Lead the establishment of company-wide data standards
  • Oversee data enrichment strategies and investments
  • Champion customer data security and privacy practices

Benefits

  • Opportunity to lead a team in a critical strategic area
  • Collaborative environment with cross-functional partnerships
  • Impactful role in shaping the customer experience
  • Exposure to advanced data management technologies and methodologies
  • Career growth through professional development opportunities
Full Job Description
About the Role
The Customer Data Engineering Director will implement data strategies that enable Gap Inc to better manage our customer data with a goal to provide a comprehensive view of the customer, improved business decision making through quicker insights and adherence to compliance and privacy needs. This role will report into the Sr. Director of Customer Data Engineering and will be a part of the team responsible for reharmonizing, standardizing, and streamlining enterprise customer data with ownership of the business data layer working in partnership with data governance, data product management and marketing data teams.What You'll Do
  • Relevant technology professional experience in Technology, with a concentration in Customer Data Management & Marketing Technology integration
  • Strong experience in managing customer data for fashion retailers
  • Strong experience in data engineering, data platforms, data strategy consulting, or equivalent data management experience
  • Experience in operationalizing data privacy, compliance and governance initiatives
  • Experience with cloud-based platforms like Azure/GCP/AWS specializing in the related data stack within including consumption patterns like data products, data marts, universal semantic layers
  • Experience working across global teams spanning multiple time zones and geographies
  • Ability to collaborate effectively with various functional partners to probe/ask questions, gather required information for analyses, and participate as a value-added cross-functional partner
  • Experience operating in a fast-paced environment driven by senior leadership requests and evolving business needs
  • Ability to manage workload with limited guidance; effective managing to expectations and ability to scope/prioritize work with relatively high independence
  • Retail Experience is a must have
  • Strong verbal and written communication skills
  • Strong analytical, problem solving, and multi-tasking skills
  • Customer focused and Solutions Oriented mindset
Who You Are
  • Drive the data integration plan with internal stakeholders, vendors, partners, 3rd party teams
  • Implements processes for active stewardship of data, including active management of metadata and oversight of data processes and flows
  • Collaborate with the team to ideate and prototype new data opportunities
  • Be accountable for the quality of our core data set and make improvements each sprint
  • Lead the business engagement and agreement on business-wide data standards
  • Ownership of all data enrichment, maintenance investments
  • Key driver in data warehouse and business intelligence investment strategy
  • Customer data evangelist - proactively seek new and improved ways for data to drive more differentiated, dynamic, cross-channel touch point opportunities for Users
  • Internal expert on customer Data Security and Privacy policies and practices
  • Business Lead on all data-related acquisition and divestiture activities
  • Build and maintain a strong technical team through effective recruiting, training, coaching, team building, and succession planning.

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