Collibra Project Lead – Data & AI Governance (Banking Domain)
PURVIEW ASIA PACIFIC PTE. LTD.
Islandwide, Singapore
Not specified
Collibra platform implementation expertise
Data governance framework design
Ai governance controls and compliance
Purview Asia Pacific Pte. Ltd. is seeking a strategic Collibra Project Lead to drive enterprise-wide Data and AI Governance initiatives within the banking sector. The ideal candidate should have extensive experience in Collibra implementation, data governance, and a strong understanding of the banking industry's data landscape
Job Summary
This role requires leading enterprise-scale Collibra implementation programs across multiple banking business units to drive governance maturity.
The successful candidate will design and operationalize comprehensive Data Governance Frameworks including business glossaries, data catalogs, and AI risk management controls.
Candidates must ensure strict alignment with banking regulations such as BCBS 239, GDPR, and Basel standards while managing complex data ecosystems.
Matching Summary
Match Score: 85
Purview Asia Pacific Pte. Ltd. is seeking a strategic Collibra Project Lead to drive enterprise-wide Data and AI Governance initiatives within the banking sector. The ideal candidate should have extensive experience in Collibra implementation, data governance, and a strong understanding of the banking industry's data landscape.
Skills & Requirements
Must-have
Collibra platform implementation expertise
Data governance framework design
AI governance controls and compliance
Enterprise data lineage management
Banking domain knowledge (Risk/AML)
Stakeholder management and leadership
Nice-to-have
Experience with Informatica or Talend
Cloud architecture integration skills
Mentoring governance analysts
Strong analytical problem-solving
Executive-level communication skills
Key Requirements
12+ years overall experience
5+ years in Collibra implementation
Leadership within Banking or Financial Services
Hands-on expertise in Collibra Data Intelligence Platform
Strong understanding of ETL/ELT pipelines and data modeling