Vice President of Data and Analytics

Credit Union of Southern California•Anaheim, CA

10d•$192,157 - $315,848•Hybrid

About The Position

The Vice President of Data & Analytics defines and leads the credit union’s enterprise data and analytics strategy to enable trusted reporting, actionable insights, and data driven decision making. This role ensures data assets are governed, secure, and aligned to business, regulatory, and member experience objectives. Partnering with senior leaders, the VP translates strategy into measurable outcomes, advances analytics maturity beyond reporting, and guides the responsible adoption of advanced analytics and AI to improve performance, manage risk, and support sustainable growth.

Requirements

8+ years of progressive experience in data, analytics, or business intelligence roles.
4+ years in people leadership.
Bachelor’s degree.
Demonstrated experience leading enterprise data and analytics initiatives that support reporting, insight generation, and strategic decision making.
Strong understanding of modern data and analytics architectures, including data warehousing, data modeling, and cloud-based data platforms.
Experience establishing or operating within data governance frameworks, including data quality, stewardship, security, and access controls.
Proficient in all applicable MS Office programs (i.e., Word, Excel, Outlook, Teams, etc.).
Ability to clearly communicate insights and complex technology-related topics to a non-technical audience.
Strong background in mathematics and statistics.
Ability to work for long periods on highly detailed, precise work activity.
Time pressures and tight deadlines.

Nice To Haves

Bachelor’s degree in a quantitative discipline, (economics, statistics, computer science, IT development or infrastructure).
Proven experience with vendor management and onboarding new technologies or services.
Experience in financial services, credit unions, or other highly regulated industries.
Team oriented and collaborative working style, both with internal team members and leaders.
Experience with CI/CD pipelines and code repositories.
Ability to demonstrate the various ways in which generative AI (e.g. CoPilot, ChatGPT) can be injected into daily tasks.

Responsibilities

Defines and owns the credit union’s enterprise data and analytics strategy, roadmap, and operating model in alignment with business and technology priorities.
Accountable for prioritizing and delivering enterprise reporting and analytics capabilities aligned to strategic business objectives.
Establishes a scalable, secure, and well governed data foundation in partnership with IT, Information Security, and Risk to support reporting, analytics, and future advanced capabilities.
Provides strategic oversight of data platforms, tools, and vendor relationships to ensure scalability, security, and cost effectiveness.
Develops and maintains relationships with executive management and credit union leaders while staying current on regulations (GLBA, CCPA, FFEIC) and business priorities to provide prescriptive and predictive analytical solutions.
Partners with executive leadership to translate business strategy into measurable outcomes, analytical use cases, and prioritized initiatives.
Partners with cross-functional teams and third-party vendors to gather data requirements, create reporting solutions, and implement new data sources.
Provides thought leadership on emerging data, analytics, and AI capabilities and evaluates their relevance and value to the credit union.
Ensures analytics investments deliver measurable business value through clear success metrics, benefit tracking, and continuous improvement.
Establishes effective operating models and delivery practices to ensure predictable, high-quality analytics delivery.
Builds, develops, and retains high performing data and analytics talent through coaching, clear role definition, and succession planning.
Complete understanding and active application the C.A.R.E. 4 Guide expectations and the Brand Communications Standards Accountability Philosophy.
Must be able and available to work a “hybrid” schedule, per business operations requirement, as needed
Additional duties and responsibilities, as assigned.