Leslie's · 20 hours ago
VP of Enterprise Data & Analytics
Phoenix, AZ
Full-time
Hybrid
Director/Executive
12+ years expLeslie's is the largest and most trusted direct-to-consumer brand in the U.S. pool and spa care industry. The Vice President of Enterprise Analytics is responsible for owning the enterprise analytics, data, and AI strategy and delivering analytics solutions through technology and engineering teams, while partnering closely with business leaders across various functions.
Consumer GoodsE-CommerceRetail
No H1B
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
Qualification
Required
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
Preferred
Cloud certifications (Azure preferred)
AI / Machine Learning certifications
Data, Analytics, or Engineering certifications (e.g., Snowflake, Power BI)
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 is available, allowing early access to a portion of your earned wages before payday.
Product discounts at Leslie’s Retail stores.
Company
Leslie's
In March of 1963, a one-man pool supply operation working out of a backyard shed in North Hollywood, California, began.
1001-5000 employees
Funding
Current Stage
Public CompanyTotal Funding
unknown2020-10-28IPO
2017-01-17Acquired
Leadership Team
Jason McDonell
Chief Executive Officer
Ben Lindquist
Senior Vice President, General Counsel & Corporate Secretary
Recent News
2026-01-16
2026-01-09
2026-01-09
Company data provided by crunchbase