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About the Role
This role owns the problem of AI system failures stemming from issues like bad libraries, outdated documentation, inaccessible knowledge, or untrustworthy datasets. It 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 to ensure retrieval systems understand document applicability and trustworthiness.
- Assess data quality across client and internal assets using tools like Great Expectations, dbt tests, or Soda.
- Build and maintain data lineage to make AI-generated outputs auditable.
- Design automated ingestion workflows and nightly quality checks to maintain catalogue currency.
- Partner with engineers to connect RAG pipelines and agentic retrieval systems to catalogue APIs.
- Map client data estates with strategists before project initiation.
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
- Records 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
Location
- Sydney, NSW
- Melbourne, VIC
Work Type
- Hybrid
- Full-time
Experience Level
- Not specified
Education Level
- Not specified
Salary/Compensations
- Not specified
Benefits
- Hybrid working (1-2 days per week in office)
- Monthly anchor days
- Team lunches
- Annual offsite
- Strong internal communities
- 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.
- Offices in Sydney and Melbourne, with a growing presence in Manila.
- Values excellence over ego, fostering a high-trust, low-politics environment.
- Offers space for growth and encourages collaboration and curiosity.
Equal Opportunity
- Not specified