Vice President, Data Analytics

Fleet Feet • Carrboro, NC

5h

About The Position

We believe Running Changes Everything. If you believe that, too, we want to talk. With more than 280 stores and a robust e-commerce site, Fleet Feet is the largest running retailer in the country. Catering to more than runners, we pride ourselves on having an inclusive environment! We believe it’s a privilege to serve and to deliver unmatched service and support when outfitting every customer. We run together to solve problems, reach goals, encourage others and champion our brand.

Overview:

The Vice President of Data Analytics is a strategic, enterprise-wide leader responsible for delivering trusted insights, scalable analytics products, and measurable business impact across the organization. This role owns the end-to-end analytics and enablement strategy spanning Business Intelligence, Advanced Analytics, and Self-Service Analytics.
Partnering closely with all department leaders, the VP of Data Analytics translates business priorities into actionable analytics roadmaps, drives standardized KPIs and governance, and builds a data-driven culture. The role leads and directs resources (both internal and external) to advance modern analytics capabilities, including AI, automation, and predictive analytics, to improve decision-making and operational performance in a complex, omnichannel retail environment.
The VP of Data Analytics is accountable for analytics outcomes, insight delivery, KPI definition, and business enablement. Core data platforms, enterprise data architecture, security, and access controls are owned by IT. This role succeeds through a tightly aligned partnership with IT, supported by shared roadmaps and joint governance.

Requirements

• Bachelor’s degree in Mathematics, Statistics, Finance, Computer Science, or related field; MBA or CPA preferred.
• 10+ years of progressive experience in analytics, finance, consulting, or strategy roles, with leadership experience at the enterprise level.
• Experience in multi-unit retail, consumer-facing, or omnichannel businesses strongly preferred.
• Exceptional expertise in Business Intelligence (BI) and advanced analytics platforms, with mastery in tools like Power BI and Microsoft Analysis Services, comprehensive knowledge of financial systems, and advanced skills in predictive data modeling. Proficiency in enterprise resource planning (ERP) systems such as Oracle is highly valued.
• Strong technical foundation in SQL, Python and/or R; working knowledge of AI/ML trends and their application in enterprise analytics.
• Proven experience developing KPI frameworks, data governance standards, and enterprise analytics operating models.
• Change management experience.
• Experience managing multiple vendors and service partners.
• Demonstrated ability to influence stakeholders across all levels and lead through collaborative, inclusive approaches.
• Excellent communication, storytelling, and executive presentation skills

Responsibilities

• Enterprise Analytics Strategy & Leadership
• Define, implement, and own the enterprise analytics vision, delivery strategy, and operating model - co-developed with IT for platform, architecture, and governance - across BI, advanced analytics, and self-service analytics.
• Translate corporate and functional priorities into a clear roadmap of analytics initiatives and data products aligned to business outcomes.
• Establish an analytics governance model in partnership with IT that is aligned to the enterprise data governance framework for intake, prioritization, KPI definitions, and stakeholder communication.
• Define and drive standard ways of working, including agile delivery, quarterly planning, performance tracking, and executive reporting.
• Build, mentor, and lead a high-performing analytics team while fostering strong cross-functional partnerships.
• Lead change management efforts, promoting the adoption of new BI tools, systems, and processes across the organization
• Business Intelligence & Reporting
• Lead BI delivery, including executive dashboards, reporting automation, semantic layer adoption, and metric standardization on enterprise-approved platforms.
• Champion the use of modern BI methodologies (e.g. agile BI development, semantic layer design) to deliver timely, relevant, and trusted insights.
• Partner with IT’s Data Architecture and Data Governance teams to ensure shared accountability for data quality and business metric certification within the enterprise data governance framework, ensuring alignment between enterprise systems and analytics products.
• Ensure reliability, performance, and adoption of core reporting products across Finance, Commercial, and Operations.
• Standardize financial and operational KPIs across departments to enable consistent decision-making and strategic alignment.
• Partner with business leaders to align reporting with decision workflows and measurable performance outcomes.
• Develop and promote a self-service BI framework that empowers business users to access and analyze data independently.
• Train business teams on BI tools, dashboards, and reporting processes, ensuring they are equipped to make data-driven decisions.
• Track and improve BI adoption and proficiency across the organization
• Business Decision Support & Enablement
• Act as a strategic thought partner to senior leaders, translating complex data into clear, actionable insights.
• Partner with the Strategy team to translate enterprise priorities into data-driven insights that inform long-term planning, investment decisions, and growth initiatives.
• Support financial and data literacy across the organization through training, documentation, and hands-on enablement.
• Build scalable self-service analytics capabilities through curated datasets, certified metrics, semantic views, and analytics training.
• Reduce ad hoc reporting by delivering standardized, reusable data products and insights.
• Advanced Analytics, AI, & Forecasting (Future Need)
• Lead advanced analytics initiatives including forecasting, driver analysis, segmentation, experimentation (A/B testing), optimization, and anomaly detection.
• Improve forecast accuracy and support enterprise planning through predictive and scenario-based analytics.
• Identify and deliver AI and automation opportunities (ML, GenAI, advanced modeling) that reduce manual effort and accelerate data insights while complying with enterprise security, privacy, cost management and model lifecycle standards.
• Ensure responsible analytics practices, including model documentation, monitoring, and lifecycle management, and alignment with enterprise security, privacy, and technology standards in partnership with IT.

Benefits

• 401(k) with 4% Company Match: Available to employees aged 21+ at company-owned stores.
• Exclusive Discounts: Enjoy savings on industry-leading products and specialized training programs.
• Professional Development: Grow your career through mentorship opportunities, employee resource groups, and ongoing learning sessions designed to help you reach your full potential.
• Community Engagement: Get involved in local outreach and service initiatives that align with our purpose-driven mission.
• Inspiring Team Culture: Join supportive, passionate teammates who live the mission every day.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive