VP of Enterprise Data & Analytics

Leslie's Pool Supplies•Phoenix, AZ

5d•Hybrid

About The Position

Founded in 1963, Leslie's is the largest and most trusted direct-to-consumer brand in the U.S. pool and spa care industry. We serve the aftermarket needs of residential and professional consumers with an extensive and largely exclusive assortment of essential pool and spa care products. We operate an integrated ecosystem of 900+ retail locations, backyard service and repair, a robust digital platform, and manufacturing and distribution divisions across 35+ states—enabling consumers to engage with Leslie’s whenever, wherever, and however they prefer to shop. With over 60 years of providing best-in-class products and solutions to our customers, there is nothing that we value more than the development and growth of our team. We strive to create a positive and fun atmosphere where our Team Members feel valued and are enthusiastic about the contributions they make to the success of Leslie's. This position is not open to agency submissions. This position is based at our corporate office in Phoenix, AZ, and follows a hybrid work schedule. Remote work is not available for this role. Candidates must reside within commuting distance, as relocation assistance is not provided. Additionally, applicants must be authorized to work in the United States without the need for current or future employer-sponsored visa support. Job Overview: The Vice President of Enterprise Analytics is a senior IT leadership role responsible for owning the enterprise analytics, data, and AI strategy and the delivery of analytics solutions through technology and engineering teams. This role sits within IT and partners closely with business leaders across merchandising, supply chain, marketing, finance, store operations, and digital commerce to translate business needs into scalable, secure, and high-performing analytics and AI capabilities. The VP will directly own analytics engineering, data engineering, and AI delivery teams, including management of third-party and offshore partners, and will be accountable for platform reliability, data quality, governance, and value realization. This leader will modernize the analytics ecosystem and embed AI-driven insights into core business workflows.

Requirements

Bachelor’s degree in Computer Science, Data Science, Analytics, Engineering, or related field; Master’s degree or MBA preferred.
12+ years of progressive experience in analytics, data, or technology leadership roles.
Proven experience leading analytics engineering and data engineering teams within IT organizations.
Strong experience managing offshore and third-party delivery teams.
Hands-on experience with Snowflake, Power BI, Matillion, Azure, and modern data platforms.
Experience with data governance, data management, integration standards, and enterprise architecture.
Experience supporting public company financial reporting, SOX compliance, and audit requirements.
Strong understanding of DevOps, DataOps, and MLOps practices.
Demonstrated ability to partner with business leaders while maintaining strong IT ownership and accountability.

Nice To Haves

Cloud certifications (Azure preferred)
AI / Machine Learning certifications
Data, Analytics, or Engineering certifications (e.g., Snowflake, Power BI)
IT and data platform leadership
Strategic thinking and execution
Executive communication and influence
Vendor and offshore team management
Talent development and team building
Results-oriented with strong ownership mindset

Responsibilities

Define and execute the enterprise analytics, data, and AI strategy aligned with IT, digital, and corporate transformation roadmaps.
Establish a multi-year analytics and AI technology roadmap spanning descriptive, diagnostic, predictive, and prescriptive capabilities.
Serve as a strategic IT partner to business executives, translating business priorities into technology-enabled analytics solutions.
Champion a data- and AI-driven culture with strong governance, security, and responsible AI practices.
Own the end-to-end delivery of analytics, BI, and AI solutions through internal and offshore engineering teams.
Lead analytics engineering, data engineering, BI development, and ML engineering capabilities.
Establish delivery standards, SDLC, and agile practices for analytics and AI development.
Manage and optimize third-party and offshore delivery partners, ensuring quality, velocity, and cost effectiveness.
Enable business teams with trusted, timely, and actionable analytics across: Customer analytics (segmentation, personalization, loyalty, CLV) Merchandising, assortment, and pricing analytics Supply chain, demand forecasting, and inventory optimization Store operations, labor optimization, and field performance Digital, e-commerce, and omnichannel analytics
Own and evolve the enterprise analytics and data platforms in partnership with Enterprise Architecture and Infrastructure.
Lead adoption and optimization of Snowflake, Azure, Power BI, Matillion, and modern ML platforms.
Establish and enforce enterprise standards for data quality, data governance, master data management, metadata, lineage, and security.
Define integration standards, APIs, and data contracts across enterprise systems.
Ensure compliance with public company financial reporting requirements, SOX controls, audit standards, and data privacy regulations.
Lead implementation of AI/ML capabilities including forecasting, optimization, recommendations, anomaly detection, and GenAI-enabled analytics.
Oversee MLOps practices to ensure reliable deployment, monitoring, and lifecycle management of models.
Partner with cybersecurity and legal teams to ensure ethical and responsible use of AI.
Implement DevOps, DataOps, and MLOps practices for analytics and data platforms.
Ensure platform reliability, performance, scalability, and cost management.
Define SLAs, KPIs, and operational metrics for analytics platforms and teams.
Build, lead, and mentor high-performing analytics engineering, data engineering, and AI teams.
Provide strong leadership to offshore and third-party teams, including vendor governance, performance management, and capability building.
Establish clear roles, career paths, and performance expectations for analytics and data talent.
Foster strong collaboration across IT, data, security, finance, and business teams.
Act as a trusted IT partner to senior leaders across business functions.
Translate complex technical and analytical concepts into clear business outcomes for executives and the board.
Lead executive-level discussions on analytics, AI, and data platform investments.

Benefits

Comprehensive medical, pharmacy, dental, & vision plan options.
Health savings account (with enrollment in the high deductible health plan option).
Health & dependent care flexible spending accounts.
Company-paid basic life and AD&D insurance.
Voluntary supplemental life insurance.
Company-paid short-term disability and voluntary long-term disability insurance.
Pre-tax and Roth 401(k) with company match.
Paid vacation, sick, and bereavement leave.
Paid holidays, including a floating personal day.
Employee assistance and wellness programs.
Earned Wage access isâ¯available, allowing early access to a portion of your earned wages before payday.
Product discounts at Leslie’s Retail stores.