Risk Data Governance Lead [Integrated Risk Management]

We are looking for a Risk Data Governance Lead to own and transform our risk data infrastructure into an LLM-agent-ready state. This is a unique role at the intersection of data engineering, data governance, and risk analytics — you will ensure that both humans and AI agents can reliably consume, query, and act on our risk data. You will lead a small team of analytics engineers and serve as an agent of change across departments — pushing for data quality, enforcing standards, and building the foundation that enables the entire risk function to scale. As we expand to new countries, you will design the group-wide data governance framework from the ground up. Challenges that await you : Lead risk data infrastructure to LLM-agent-ready state. Own the full stack of data quality across 40+ analytical tables in Snowflake, spanning 4 product lines and multiple provisioning frameworks (MxGAAP, IFRS, internal). Define and enforce SLAs, build observability for datamarts across all DMBOK quality dimensions (freshness, completeness, accuracy, consistency, timeliness, validity, uniqueness), and drive metadata and lineage completeness. Choose and maintain the right tooling (Git-based, wiki, or hybrid) for documenting schemas, business concepts, query patterns, and pitfalls Design and evolve the LLM context layer. We already maintain a structured knowledge base covering risk data tables, business concept definitions, and query patterns — your job is to scale and formalize this into a product