Full-Time

Vice President

Data Intelligence

Posted on 1/15/2025

VF

VF

Compensation Overview

$240k - $300kAnnually

+ Annual Incentive Plan + Sales Incentive + Commission Potential + Long-Term Incentive Plan

Senior, Expert

Greensboro, NC, USA

Co-located with project teams in Greensboro, North Carolina, with possible occasional travel.

Category
Data Management
Data Engineering
Data & Analytics
Required Skills
Data Science
Data Analysis
Requirements
  • 15+ years in technology and 8+ years in data related technologies
  • Strong background in business development specific to data and analytics opportunities with excellent facilitation, presentation, and communication skills.
  • have led data audits / assessment, defined data strategy and provide consulting skills to the clients.
  • have led technical Architecture, Design and Delivery of Data solutions in production, at scale, based on modern solutions and stacks.
  • Experienced in large scale data lakes, data analytics, data governance and data lifecycle management.
  • deep understanding of Data Governance, Data Security Data Cataloging and Data Lineage concepts and any tools experience in these areas.
  • Experience in driving innovation by leveraging proven AI and data science technologies.
  • Experience working in a consumer products business, ideally experience with apparel, footwear and/or accessories.
  • lead proposals (RFPs) from solution, architecture, estimation and framework standpoint.
Responsibilities
  • Develop comprehensive data strategies across the VF’s Digital and Technology organization including Data Management, Data Engineering, Governance, Platform and Advanced Analytics that aligns to business objectives.
  • Identify areas of opportunities that can drive leverage data to drive growth, reuse, efficiency, automation, and simplicity.
  • Identify new data and analytics services that can unlock the potential of data by ensuring our data is AI ready and we make incremental steps in our data and analytics maturity.
  • Execute a continuous data architecture assessment to design and deliver a modern and enterprise grade target architecture for data platforms, models and visualization.
  • Provide inputs to define and execute strategic roadmap for data architecture by understanding the current landscape and set up the framework for shaping and executing the target architecture and its delivery roadmap.
  • Provide technical leadership and hands-on implementation role in the areas of data techniques including data ingestion, data transformation/processing, data quality, data modeling, data visualization involving end to end data life cycle.
  • Act as technical lead of a global team and manage functional & non-functional scope, quality and timelines.
  • Help establish standard data practices and frameworks like data governance, data quality, data validation, data security, data privacy, monitoring and error management.

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A