DVP, Enterprise Analytics

Spencer

$250K — $310K *
Retail & Consumer Goods
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in data, analytics, or related technology leadership roles
  • Experience in a senior leadership role managing enterprise priorities
  • Demonstrated success in leading high-performing teams in data disciplines
  • Background in retail, wholesale, or consumer-facing environments
  • Strong knowledge of data governance and analytics enablement
  • Bachelor's degree in a related field; advanced degree preferred

Responsibilities

  • Define the enterprise data and analytics strategy and roadmap
  • Oversee data engineering, reporting, and analytics teams
  • Partner with senior leaders to leverage data for business decisions
  • Ensure reliable and actionable data analytics capabilities
  • Manage prioritization and investments in the data analytics portfolio
  • Establish data governance to ensure quality and compliance
  • Align stakeholders across data, technology, and business functions

Benefits

  • Opportunities for professional development and advancement
  • Collaborative work environment with senior leaders
  • Participation in strategic decision-making
  • Access to cutting-edge data technology and tools
  • Impactful role driving business performance in retail
Full Job Description
Overview

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.This position requires a experienced leader who can manage high-performing teams, partner closely with senior business and technology stakeholders, and translate business priorities into a clear roadmap that supports growth, efficiency, and long-term enterprise success.

Leadership Capabilities

• 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

Responsibilities

• 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

Qualifications

• 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

Preferred Experience

• 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

 

The pay range reflects the potential base salary range for this role. Individual base pay is determined by various factors such as relevant experience and skills, and the scopeand responsibilities of the position.

Pay Range$250,000 - $310,000

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