Vice President, Data Management & Quantitative Analysis

In this role, you’ll make an impact in the following ways:

• Help formulate the RCAR data platform strategy, reference architecture, and capability roadmap; define standards for data models, canonical forms, and semantic layers.

• Define and implement RCAR’s end-to-end data architecture (ingest, transform, serve) and AI-enabled infrastructure to power self-serve analytics, advanced analytics, and regulatory reporting, anchored in SLAs/SLOs, observability, and resilience (DR/BCP).

• Establish canonical, vectorized data forms and standardized semantic layers to accelerate feature engineering, retrieval-augmented generation (RAG), and reusable analytics patterns.

• Build and govern a comprehensive metadata program—including catalog, lineage capture, classification, ownership (RACI), stewardship, and approval workflows—to improve discovery, traceability, and audit-readiness.

• Design and operationalize a data intelligence mesh that balances federated domain data products with centralized guardrails for quality, security, and interoperability; define shared contracts and interoperability standards.

• Embed robust access and trust controls (segregation of duties, break-glass protocols) ensuring compliant use of Risk & Compliance data; align with privacy, retention, and acceptable use requirements.