DVP, Enterprise Analytics

Responsibilities

The Divisional Vice President (DVP) of Data & Analytics is a senior leadership role responsible for defining and advancing the enterprise data and analytics strategy across the organization. This leader oversees scalable data engineering, reporting, and analytics capabilities that support critical business functions including stores, merchandising, supply chain, finance, eCommerce, and people-related operations. The role is accountable for ensuring data and analytics investments improve decision-making, strengthen operational performance, and deliver measurable business value in a complex retail environment.

• Define and lead the enterprise data and analytics strategy, roadmap, and priorities across key business functions.
• Oversee teams responsible for data engineering, reporting, analytics, and related capabilities, ensuring strong leadership, development, and performance management.
• Partner with senior leaders across the organization to identify opportunities where data and insights can improve decision‑making, business performance, and customer outcomes.
• Ensure the organization has scalable, reliable, and actionable data, reporting, and analytics capabilities that support operational, strategic, and executive needs.
• Lead prioritization and investment decisions across the data and analytics portfolio, balancing innovation, business demand, and long‑term platform health.
• Establish strong governance around data quality, ownership, standards, and access to support consistency, compliance, and trust in enterprise data.
• Drive alignment across data, technology, and business stakeholders to deliver practical, scalable solutions in a fast‑paced retail environment.

• Enterprise Data & Analytics Leadership:
  Ability to define and lead a data and analytics vision aligned to business priorities and measurable outcomes.
• Senior Leadership & Influence:
  Demonstrated ability to build trust, align stakeholders, and influence decisions across senior business and technology leaders.
• Team & Organizational Leadership:
  Proven success leading, developing, and retaining high‑performing teams in complex, matrixed environments.
• Retail Business Partnership:
  Strong ability to translate the needs of stores, merchandising, supply chain, finance, and eCommerce into scalable data solutions.
• Strategic & Operational Rigor:
  Ability to balance long‑term capability building with immediate business needs while maintaining strong governance, data quality, and reporting accuracy.

• 10+ years of progressive experience in data, analytics, business intelligence, data engineering, or related technology leadership roles.
• Significant experience operating in a senior leadership capacity with responsibility for enterprise priorities, team leadership, and cross‑functional influence.
• Proven success leading and developing teams responsible for data engineering, reporting, analytics, or business intelligence capabilities.
• Experience working within retail, wholesale, or other consumer‑facing organizations with complex operational environments.
• Strong understanding of data governance, reporting strategy, analytics enablement, and enterprise decision support.
• Proven ability to partner with senior business leaders, align investments, and deliver measurable business outcomes.
• Bachelor’s degree in a related field required.
• Advanced degree preferred.
• Relevant certifications are a plus.

• Experience leading enterprise data and analytics transformation initiatives.
• Background building or scaling data governance, data engineering, reporting, and analytics operating models.
• Experience supporting retail or omni‑channel business functions through data‑driven insights and decision support.

• Flexible work environment
• Career advancement
• Competitive base salary
• Bonus opportunity
  
  Vacation, personal, sick and holiday pay
• Medical, dental, vision, disability, life and AD&D insurance
• 401k with a company match
• 30% merchandise discount

$250,000 - $310,000