Vice President, Data Engineering

Vice President, Data Engineering About the Company Popular omnichannel retailer of high-quality casual apparel for men, women & children Industry Retail Type Public Company Founded 1892 Employees 10,001+ Categories E-Commerce Women's Retail Apparel & Footwear Health & Wellness Consumer Staples Apparel Specialties specialty retail apparel fashion retail lifestyle brand and lifestyle brand Business Classifications E-Commerce B2C About the Role The Company is seeking a VP of Data Engineering to lead its data-focused technology, engineering, and platform teams. The successful candidate will be responsible for the execution of data projects that support the company's goals and strategic initiatives, as well as for building and modernizing the data engineering infrastructure to enable the ingestion, integration, modeling, and transformation of datasets at scale. This role requires a leader with a strong background in data technologies, a proven track record in data strategy, and the ability to mentor and grow a world-class team of data and platform engineers. The VP will also be accountable for ensuring the security, quality, and accessibility of data, and for driving the technical data strategy in alignment with the SVP of Data Analytics. Applicants for the VP of Data Engineering position at the company should have at least 15 years of experience in a pivotal data leadership role, with a focus on leading a comprehensive data strategy and managing large data engineering organizations. The role demands a leader with deep experience in modern data technologies, cloud-based technology, and a strong background in data governance, quality, and security. The ideal candidate will have a proven ability to scale data and engineering organizations, recruit and develop top talent, and build infrastructure and data science tools to solve complex business problems. Experience in consumer or retail technologies is strongly preferred, and a background in agile environments and leading urgent support teams is a plus. The role also requires the ability to build productive relationships across the organization and to drive a data-forward culture. Hiring Manager Title SVP Data & Analytics Travel Percent Less than 10% Functions Engineering Information Technology