Description
We are currently seeking an experienced professional to join our team in the role of Sr. Associate Director, Data and Analytics (AI Data Engineer).
Principal responsibilities:
- Build and operate pipelines for structured domain data.
- Build unstructured data pipelines for domain documents.
- Develop embedding/vectorisation pipelines and manage vector indices.
- Implement data quality, observability and lineage.
- Apply privacy-by-design.
- Implement dataset versioning and reproducibility.
- Partner with Agent Engineers and stakeholders to define data requirements and evaluation datasets.
- Support production operations and continuous improvement of data services powering AI.
Requirements:
- Delivering reliable, fresh, well-governed datasets and indices used by KYC, credit and portfolio AI solutions.
- Improving retrieval relevance and answer grounding by strengthening metadata, chunking inputs, and data quality.
- Reducing operational incidents through strong testing, monitoring, and disciplined change management.
- Making AI datasets reproducible and auditable to support reviews and control expectations.
What additional skills will be good to have?:
- Experience working with sensitive data domains and implementing controlled access patterns.
- Familiarity with vector search concepts, document ranking/reranking and retrieval metrics.
- Experience with feature stores or MLOps-style dataset management.