Solutions
Financial services firmGovernance & catalog rollout
Catalog, lineage, and access patterns that satisfy risk while enabling self-service analytics and controlled AI experiments.
Risk needed lineage and policy evidence; analysts needed speed. We rolled out a catalog-first program with stewardship, classification, and access patterns that scaled to self-service and controlled AI pilots.
How we approached it
Stewardship model
Named owners for critical datasets with RACI clarity between business, data office, and platform engineering.
Policy & access
Classification aligned to regulatory expectations; ABAC/RBAC patterns that auditors can follow in documentation.
Lineage & AI readiness
Coverage for reporting chains and model inputs; hooks for approving training data and monitoring production use.
What we delivered
- Stewardship model with domain ownership on critical datasets
- Policy and classification aligned to regulatory expectations
- Lineage coverage for key reporting and model inputs
- Continuous improvement cadence with data office and engineering
Outcomes
Faster onboarding for analysts with trusted dataset entries
Evidence pack for reviews without blocking every ticket
Controlled path for GenAI experiments on approved corpora
Representative stack