VP Data Strategist, Supervision
$136,269–$227,115 year
On-site · Tempe, Arizona, United States or Fort Mill, South Carolina, United States
Job Summary
VP Data Strategist, Supervision will own the data strategy needed to support automation, analytics, AI enablement, control health risk measurement, and cost transparency. Build and maintain a unified supervision data strategy that supports automation, analytics, AI enablement, control health measurement, and cost transparency across the organization. Define and govern critical data elements, including taxonomies, lineage, ownership, and data quality standards required for regulatory, supervisory, and operational use. Partner with Tech and DAR on data product development, ensuring business needs are translated into scalable, reusable, and well-governed data assets. Design and evolve frameworks for control health, risk detection, and FTE/cost transparency, enabling consistent measurement and actionable insights. Ensure auditability and defensibility of supervision data flows, including traceability from source systems through reporting and analytics outputs.
Required Qualifications
- 5+ years of experience in data modeling and operational data sets
- Knowledge of data governance, architecture, and data modeling expertise
- Understanding of analytics, risk scoring, and AI data requirements
- Ability to partner effectively with technical teams, translating business needs and risk requirements into data specifications and design decisions
- Methodical, detail-oriented with ability to balance precision and delivery in complex environments
- Strong written and verbal communication skills
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