VP, Data & Analytics Full Time

This role ensures that core platforms—Point-of-Sale (POS), membership solutions, CRM, ERP, HRIS, finance, supply chain, and operational technologies are integrated, reliable, secure, and optimized to support rapid growth across a multi‑location car wash network.

The VP will establish a modern data architecture that enables real‑time operational insights, advanced analytics, and data‑driven decision‑making while partnering closely with Operations, Finance, Marketing, HR, and Executive Leadership.

Key Responsibilities

Data Architecture & Analytics

• Define, execute, and maintain the enterprise data architecture strategy, including data models, pipelines, and governance.
• Establish a single source of truth for operational, customer, and financial data.
• Work with the Executive Leadership Team (ELT) to support scalable reporting solutions, dashboards, and advanced analytics.
• Develop sustainable data integrations between the enterprise software architecture to ensure data accuracy and to streamline business processes

Governance, Security & Compliance

• Implement data governance frameworks covering data quality, ownership, access controls, and lifecycle management.
• Collaborate with cybersecurity, IT Infrastructure, and business leaders to protect enterprise integrations and sensitive data.

Enterprise Solutions Leadership

• Work with CTO and CMO to establish the strategy, architecture, and lifecycle management of all Sales and Marketing related solutions, including:
• Membership and subscription systems
• CRM and customer engagement platforms
• ECommerce Solutions
• Ensure seamless integration and data flow across systems to support end‑to‑end business processes.
• Lead system selection, vendor management, contract negotiations, and implementation initiatives.

Operational Enablement

• Support field operations with reliable, high‑availability systems that minimize downtime and improve customer experience.
• Leverage data and automation to drive consistency across sites, reduce manual processes, and improve scalability.
• Partner with Operations and Marketing to analyze membership programs, pricing strategies, and customer retention.

Leadership & Team Development

• Build and lead high‑performing teams across, data engineering, and analytics.
• Establish clear operating models, standards, and development paths for technical talent.
• Foster a culture of collaboration, accountability, and continuous improvement.

Strategic Partnership

• Act as a trusted advisor to the executive team on technology, data, and systems‑related decisions.
• Support M&A activity by driving systems integration, data migration, and platform rationalization.
• Align technology investments with business strategy, growth plans, and ROI expectations.

Qualifications

Experience

• 10+ years of progressive experience in enterprise systems, data architecture, or technology leadership roles.
• 5+ years in a leadership role (Director+ or equivalent), preferably in multi‑site, consumer‑facing, or subscription‑based businesses.
• Experience in retail, QSR, hospitality, automotive services, or similar distributed operations environments is strongly preferred.
• Proven success leading large‑scale system implementations and data transformation initiatives.

Technical Expertise

• Understanding of:
• Enterprise application ecosystems (ERP, CRM, POS, HRIS)
• Modern data architectures (cloud data warehouses, ETL/ELT, APIs)
• Analytics and BI platforms
• Familiarity with IoT and operational data is a plus.
• Strong vendor and systems integration experience.

Leadership & Business Acumen

• Strong executive presence with the ability to communicate complex technical concepts to non‑technical stakeholders.
• Demonstrated ability to partner with Operations, Finance, Marketing, and HR leaders.
• Strategic thinker with a pragmatic, execution‑oriented mindset.
• Experience scaling systems and teams in high‑growth environments.

If you’re ready to take the wheel and drive performance across a growing territory, we want to hear from you.