VP, Enterprise Data & Analytics

Chevron Federal Credit Union is one of the top-run credit unions in the country – and one of the largest, with $5 billion in assets. Yet our corporate culture is not stuffy: the Team Spirit Committee runs fun activities and charitable events throughout the year, and work-life balance, mutual respect, diversity, and providing a voice for every employee are all important to us. As you might imagine, we provide competitive pay and great benefits, including:

• Bonus/incentives for all regular employees
• 401(k) with 8% company contribution
• Medical, dental, and vision insurance for employees and dependents paid at 80%
• PTO and paid sabbaticals
• Tuition reimbursement

GENERAL SUMMARY 

The Vice President, Enterprise Data & Analytics leads the Credit Union’s enterprise-wide data and analytics organization and is accountable for transforming governed, trusted data into actionable business insight aligned with strategic objectives.

This role establishes the strategic direction, operating model, and success metrics for two core functions: Business Analytics and Data Management, Governance & Enablement. Working closely with executive leadership and business partners across Operations, Lending, Finance, Marketing, Retail Delivery, and other departments, the VP ensures that enterprise data assets are trusted, accessible, secure, and leveraged to drive informed decision-making.

The VP serves as the Credit Union’s senior leader for data strategy, analytics, governance, and modern data platform enablement. The role is responsible for advancing organizational data maturity, establishing a data-driven culture, maturing governance practices, and maximizing business value through analytics, machine learning, artificial intelligence, and emerging technologies.

Position Duties & Functions

Enterprise Strategy and Vision

• Develop and execute the Credit Union’s multi-year enterprise data and analytics strategy, roadmap, and performance objectives.
• Advance organizational data maturity through improved governance, quality, accessibility, analytics adoption, and data-driven decision-making.
• Identify emerging regulatory, industry, and technology trends and align data and analytics capabilities with evolving business needs.
• Establish investment priorities and strategic direction for the enterprise modern data platform, analytics tools, and business intelligence ecosystem.
• Champion enterprise-wide data literacy, stewardship, and ownership across business and operational functions.
• Evaluate emerging technologies and opportunities to enhance organizational capabilities through data, analytics, machine learning, and artificial intelligence.
• Partner with Technology leadership to ensure alignment between data architecture, infrastructure strategy, and enterprise technology initiatives.

Analytics and Business Intelligence Leadership

• Direct the Business Analytics function in delivering advanced analytics, predictive modeling, artificial intelligence solutions, member insights, profitability analysis, and strategic reporting.
• Develop and maintain a proactive analytics agenda that identifies opportunities to improve business performance, member experience, operational efficiency, and growth.
• Partner with business leaders to understand strategic priorities and ensure analytics solutions support organizational objectives.
• Oversee enterprise reporting, dashboards, scorecards, and self-service analytics capabilities.
• Ensure the integration of data across multiple platforms to provide a comprehensive understanding of member relationships and organizational performance.
• Partner with Marketing leadership to develop and optimize member intelligence, segmentation strategies, and targeted engagement programs.
• Oversee incentive reporting, performance measurement programs, and analytical support for organizational performance management.
• Direct advanced portfolio, risk, profitability, competitive, and strategic analyses supporting executive decision-making, product development, and merger evaluations.
• Develop the intelligence layer in the “customer data profile” (CDP) that guides automated contact decisions across various digital marketing channels and staff outreach.

Data Governance, Management, and Platform Enablement

• Maintain executive accountability for enterprise data governance policies, standards, and practices.
• Establish and chair the Data Governance Council and related governance forums.
• Lead the ongoing maturity and effectiveness of enterprise data governance capabilities.
• Oversee enterprise data quality, master data management, m