Senior Director, Technology Optimization & Enhancement

Description

The Senior Director, Technology Optimization & Enhancement is a senior strategic leader responsible for improving, integrating, and scaling the technology ecosystem that supports a rapidly growing, multi-site car wash organization.

This role focuses on technology performance, system enhancement, process automation, data enablement, and cross-functional optimization rather than foundational infrastructure build-out. The Senior Director ensures all enterprise and site-level technology platforms operate efficiently, securely, and cohesively to support memberships, revenue growth, customer experience, and real-time operational visibility.

Partnering closely with Executive Leadership, Operations, Finance, HR, and Analytics, this leader identifies gaps, eliminates inefficiencies, enhances system utilization, and drives continuous improvement across both corporate and field environments.

Core Responsibilities

Technology Optimization Strategy

• Develop and execute a multi-year technology optimization roadmap aligned with operational growth and acquisition integration.
• Evaluate current systems and identify performance gaps, redundancies, and enhancement opportunities.
• Translate business needs into scalable system improvements that drive measurable ROI.
• Serve as a senior advisor to executive leadership on technology performance, integration strategy, and system enhancement initiatives.
• Establish KPIs that measure technology effectiveness, uptime, automation impact, and operational efficiency.

Enterprise & Site Technology Enhancement

• Oversee optimization of enterprise and distributed site technology platforms including:
  • Cloud environments (AWS, Azure,  GCP)
  • POS systems and payment integrations
  • Membership and subscription  platforms
  • Tunnel controllers and loT-connected wash equipment
  • Network connectivity and device management
• Lead system standardization across newly acquired locations.
• Improve reliability, scalability, and performance of site-impacting technology.
• Strengthen disaster recovery and business continuity protocols across corporate and field systems.

Systems Integration & Process Automation

• Identify and eliminate manual workflows through automation and system integration.
• Lead cross-platform integrations between ERP, HRIS, CRM, BI, membership, and operational systems.
• Standardize reporting structures to reduce manual data pulls and shadow systems.
• Improve cross-functional data flow between Operations, Finance, HR, and Analytics.
• Drive continuous improvement  initiatives that enhance field execution and corporate reporting accuracy.

Data, Performance & AI Enablement

• Partner with Business Intelligence and Finance teams to ensure enterprise data architecture supports scalable operational      analytics and decision-making.
• Improve database performance, governance, and accessibility across departments to enable reliable, real-time business      insights.
• Support development and expansion of real-time dashboards providing visibility into memberships, revenue, labor      efficiency, customer behavior, and site performance.
• Establish enterprise data integrity, governance, and access standards across all business functions.
• Enable advanced analytics initiatives that support  operational forecasting, performance management, and strategic planning.

Artificial Intelligence & Automation Integration

• Lead the identification, implementation, and  adoption of AI-driven solutions to streamline operational, administrative, and reporting processes across corporate and field environments.
• Evaluate and deploy AI tools that enhance:
  • Workforce planning and labor optimization
  • Predictive maintenance for wash equipment and  site technology
  • Customer behavior and membership analytics
  • Automated reporting and decision-support insights
  • Helpdesk automation and intelligent ticket  routing
• Partner with Operations, HR, Finance, and  Analytics teams to embed AI capabilities into existing platforms and  workflows.
• Drive responsible AI governance, ensuring data privacy, security, and ethical use standards are maintained.
• Champion a culture of data intelligence and AI  adoption, enabling teams to leverage automation and machine learning to      improve efficiency and reduce manual processes.
• Establish measurable KPIs to track AI impact on productivity, cost savings, operational efficiency, and customer experience.

Cybersecurity & Risk Optimization

• Strengthen enterprise cybersecurity posture across distributed site envi