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Vice President Information Technology

Job in San Diego, San Diego County, California, 92189, USA
Listing for: PriceSmart
Full Time position
Listed on 2026-07-17
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Science Manager, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 220800 - 276000 USD Yearly USD 220800.00 276000.00 YEAR
Job Description & How to Apply Below

We’re on a mission to hire the very best, and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize the greatest contributions to the company can come from anywhere in the organization, and we know that the next one could be yours!

What's unique about this job (What you’ll do)

The Vice President, Data & AI will lead the enterprise Data & AI organization, defining and executing the company's data strategy while enabling business growth through trusted data, advanced analytics and Artificial Intelligence. This executive will build a modern, scalable and business-driven data organization responsible for transforming enterprise data into strategic insights, improving decision-making across the business, and accelerating AI adoption.

The role partners closely with Product Engineering, Enterprise Architecture, Infrastructure and Technology Business Operations to ensure data becomes a competitive business capability rather than simply a reporting function.

SUCCESS MEASURES (FIRST 12 MONTHS)
  • Enterprise Data Strategy approved and launched.
  • Enterprise Data Governance operating model implemented.
  • AI use case portfolio prioritized and initiated.
  • Improved enterprise data quality and trust.
  • Increased business adoption of analytics.
  • Modernized reporting capabilities.
  • Strong executive partnerships established across business functions.
KEY RESPONSIBILITIES:

Strategic Priorities
  • Establish trusted enterprise data.
  • Accelerate AI adoption across business capabilities.
  • Increase business value through analytics.
  • Simplify and modernize the enterprise data ecosystem.
  • Improve decision quality through trusted insights.
Enterprise Data Strategy
  • Define and execute the enterprise Data & AI strategy aligned with business priorities.
  • Develop the multi-year roadmap for enterprise data capabilities.
  • Drive adoption of modern data platforms and cloud-native technologies.
  • Establish data as a strategic business asset across the organization.
  • Build scalable, reliable and secure data platforms.
  • Ensure enterprise-wide availability, quality and performance of data assets.
  • Modernize data architecture and integration capabilities.
  • Deliver enterprise reporting, dashboards and self-service analytics.
  • Enable business leaders with trusted insights for strategic decision making.
  • Increase adoption of analytics across all business functions.
  • Establish common KPIs and enterprise metrics.
Data Governance
  • Define enterprise data governance policies and standards.
  • Establish data ownership across business capabilities.
  • Improve data quality, lineage, cataloging and metadata management.
  • Ensure compliance with regulatory and security requirements.
  • Define the enterprise AI strategy.
  • Identify and prioritize high-value AI use cases.
  • Lead AI Enablement capabilities supporting all technology domains.
  • Promote responsible, secure and scalable AI adoption.
  • Build and develop a high-performing Data & AI leadership team.
  • Influence enterprise investment decisions related to data and AI.
  • Foster a culture of continuous improvement, innovation and accountability.
LEADERSHIP RESPSONSIBILITIES
  • Define Data & AI vision and strategy for IT.
  • Lead IT transformation initiatives.
  • Build cross-functional partnerships.
  • Drive organizational performance through measurable outcomes.
  • Champion innovation and continuous improvement.
Bring your passion and expertise (Who you are)

Required Qualifications:
  • Bachelor’s degree in computer science, Information Systems, Engineering, Data Science or a related technical discipline required.
  • (preferred) master’s degree in business administration (MBA), Computer Science, Artificial Intelligence, Data Science or a related field strongly preferred.
  • 15+ years of progressive leadership experience across Information Technology, Data, Analytics or Digital organizations, including 10+ years leading enterprise Data, Analytics or AI organizations.
  • 7+ years leading Directors, Senior Managers and multi-disciplinary technology organizations within large, global or multi-country enterprises.
  • Demonstrated executive leadership experience reporting directly to a CIO, CTO, Chief Digital Officer or equivalent executive leadership…
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