Director Data & Insights

Overview

About PHOENIX PHOENIX Retail, LLC is a retail platform operating the Express and Bonobos brands worldwide. About ExpressExpress is a multichannel apparel brand dedicated to a design philosophy rooted in modern, confident and effortless style whether dressing for work, everyday or special occasions. Since its launch in 1980, the brand has embraced a design philosophy rooted in modern, confident and effortless style. Express ensures you look and feel your best, wherever life takes you. The Company operates over 400 retail and outlet stores in the United States and Puerto Rico, the express.com online store and the Express mobile app. About BonobosOur Bonobos menswear brand is known for being a style instigator and offering perfect-fit risks through our innovative retail model and personalized experience. Launched online in 2007 with its signature line of chinos, Bonobos now offers a variety of styles available to order online and to try on at any one of our 50 Guideshop locations and at www.bonobos.com. Our Guideshops are in-real-life stores that deliver one-on-one service and expert fit advice. Don't think traditional retail, Bonobos is something you haven't seen before.

Responsibilities

POSITION OVERVIEW

The Director, Data & Insights provides strategic leadership for the enterprise-wide data strategy, overseeing a multi-brand portfolio of data warehouses, reporting and advanced analytics, and enterprise integrations. This leader is responsible for defining the technology roadmap, aligning data initiatives with business objectives, and fostering a culture of innovation across the organization. The Director leads high-performing teams to deliver scalable cloud solutions, ensures data integrity and security, provides operational excellence, and drives organizational impact through real-time insights and fiscal accountability.  The Director is accountable for oversight and support for all data solutions and must support and implement new enterprise projects in conjunction with daily operations, as well as modernizing our data technology stack and leading a high performing team.  This role leads team members in data engineering, enterprise integrations, data architecture, data science, and reporting and analytics.  

 

KEY RESPONSIBILITIES

• Organizational Strategy & Vision: Define and execute the long-term data and integration strategy, aligning technology investments with enterprise-wide business goals, and delivering high impact data solutions.
• Strategic Leadership: Lead and mentor a diverse team of technology professionals, fostering professional growth and building a high-performing, agile organizational culture.
• Strategic Roadmapping & Modernization: Partner with senior leadership to shape strategic pillars and modernize the data stack, transitioning legacy systems to real-time insights and scalable cloud architectures.
• Budget & Fiscal Oversight: Direct the total cost of ownership (TCO) for the data ecosystem, managing data budgets and optimizing cloud resource utilization.
• Cross-Functional Partnerships: Cultivate and leverage strong partnerships across the enterprise to drive alignment on the prioritization of critical initiatives and ensure cohesive roadmap execution.
• Enterprise Data Governance: Champion global data governance and security standards, ensuring compliance with privacy regulations and the integrity of enterprise data assets.
• Driving Data Democratization: Develop and execute a strategy to maximize self-service analytics capabilities, enabling internal users to derive insights independently while maintaining data integrity. 
• AI Strategy & Innovation: Leverage enterprise data assets to identify, prioritize, and drive AI and machine learning initiatives that provide actionable insights and competitive advantages across the business.
• SDLC & Process Governance: Define and enforce an Agile-first Software Development Life Cycle (SDLC); oversee project documentation, resource planning, and continuous delivery improvements.
• Vendor Management: Interface regularly with, and manage, third-party vendor relationships to ensure deliverables meet brand standards.
• Operational Excellence: Provide 24x7 oversight for business-critical applications, serving as the primary escalation point for data pipeline or reporting outages.
• Value Realization: Identify and pursue opportunities to transform raw data assets into tangible business value or operational efficiencies, and establish key performance indicators to gauge effectiveness of data initia