[Hiring] AI Information Scientist @Bilue

Role Description

The AI Information Scientist owns the problem of ensuring AI systems function effectively. This role sits at the intersection of data governance, knowledge management, and AI delivery. Responsibilities include:

• Designing and maintaining data catalogues for AI projects using platforms such as DataHub, OpenMetadata, Apache Atlas, Collibra, or cloud-native equivalents (AWS Glue Data Catalog, Azure Purview, GCP Dataplex).
• Defining metadata schemas and taxonomy standards — type, version, jurisdiction, validity period, confidence tier — so retrieval systems know not just what a document is, but when it applies and how much to trust it.
• Assessing data quality across client and internal assets using tools like Great Expectations, dbt tests, or Soda; flagging stale, superseded, or ambiguous records before they reach the AI layer.
• Building and maintaining data lineage so every AI-generated output can be traced back to its source, version, and validity period — making outputs auditable, not just accurate.
• Designing automated ingestion workflows and nightly quality checks that keep catalogues current without constant manual intervention.
• Partnering with The Foundry engineers to connect RAG pipelines and agentic retrieval systems to catalogue APIs, and with The Labs strategists to map client data estates before a project begins.

Qualifications

• A background in data governance, information management, knowledge management, or records management — with genuine interest in how that work enables AI delivery.
• Hands-on experience with at least one data catalogue platform (DataHub, OpenMetadata, Collibra, Alation, Apache Atlas, or a major cloud equivalent) and 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; and comfort with dbt or OpenLineage for lineage tracking.
• Understanding of vector databases and RAG architecture — enough to know how metadata quality directly affects retrieval precision.
• Experience in regulated or high-stakes data environments where provenance and auditability genuinely matter: financial services, insurance, government, healthcare, or similar.
• A collaborative, low-ego disposition. The Data Librarian’s work is structural and often invisible. The glory goes to the AI system. You are fine with that.

Benefits

• Client-focused: We are dedicated to delivering exceptional value to our clients while supporting each other to achieve collective success.
• Internal coaching: We prioritise personal and professional growth, emphasising continuous learning and up-skilling.
• Flat structure: We operate with a flat structure, where our casual, approachable executive leadership team (ELT) ensures everyone’s voice is heard.
• Internal communities: We build and nurture internal communities for knowledge sharing and collaboration, keeping everyone connected and informed.
• Flexible: We offer full-time remote working for all of our Manila-based employees, but stay connected via Slack and Zoom.

Additional Information

• Candidates must be based within the metropolitan area of Manila with a strong reliable internet connection.
• Working hours are expected to be Australian Eastern Standard Time (7am - 3.30pm PHT).