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About the Role
The AI Data Scientist owns the problem of AI system failures stemming from issues like bad libraries, outdated documents, inaccessible knowledge, or untrustworthy datasets. This role sits at the intersection of data governance, knowledge management, and AI delivery, focusing on designing and maintaining the foundational elements that AI systems depend on.
Responsibilities
- Design and maintain data catalogues for AI projects using platforms such as DataHub, OpenMetadata, Apache Atlas, Collibra, or cloud-native equivalents.
- Define metadata schemas and taxonomy standards for retrieval systems.
- Assess data quality across client and internal assets using tools like Great Expectations, dbt tests, or Soda.
- Build and maintain data lineage for auditable AI-generated outputs.
- Design automated ingestion workflows and nightly quality checks.
- Partner with engineers to connect RAG pipelines and agentic retrieval systems to catalogue APIs.
- Map client data estates before a project begins.
Requirements
- A background in data governance, information management, knowledge management, or records management with an interest in AI delivery.
- Hands-on experience with at least one data catalogue platform (DataHub, OpenMetadata, Collibra, Alation, Apache Atlas, or a major cloud equivalent).
- Familiarity with metadata standards such as JSON-LD, Dublin Core, or domain-specific ontologies.
- Strong SQL skills.
- Working Python for data profiling, quality scripting, and metadata automation.
- Comfort with dbt or OpenLineage for lineage tracking.
- Understanding of vector databases and RAG architecture.
- Experience in regulated or high-stakes data environments (financial services, insurance, government, healthcare, or similar).
- A collaborative, low-ego disposition.
- Unrestricted working rights in Australia.
Skills
- Data Governance
- Information Management
- Knowledge Management
- AI Delivery
- Data Catalogues
- Metadata Schemas
- Taxonomy Standards
- Data Quality Assessment
- Data Lineage
- Automated Ingestion Workflows
- RAG Pipelines
- Agentic Retrieval Systems
- SQL
- Python
- dbt
- OpenLineage
- Vector Databases
- JSON-LD
- Dublin Core
Location
- Sydney, NSW
- Melbourne, VIC
Work Type
- Full-time
- Hybrid
Experience Level
- Mid-level
Education Level
- Formal background in library or information science (Bonus)
Benefits
- Monthly anchor days
- Team lunches
- Annual offsite
- Unlimited access to Go1’s learning library
- Support from internal performance coach
About the Company
- Bilue is a digital consultancy that designs and builds smart, user-friendly technology for well-known Australian businesses.
- Culture is people-first and purpose-driven, with a down-to-earth, values-led team.
- Values excellence over ego, fostering a high-trust environment with low politics.
- Encourages curiosity and collaboration.
- Offers opportunities for growth and a voice for everyone.