About the role
AI summarisedJoin PwC's Risk Services Practice to help clients navigate complexity and build trust through robust data management solutions. This role involves leading initiatives in data governance, enterprise data modeling, and data warehousing to enable AI and BI solutions while ensuring compliance with stringent industry standards.
ConsultingOnsite
Key Responsibilities
- Implement Data Governance platforms, including glossary, metadata/lineage scanning, and data quality rules.
- Design and maintain enterprise data models, including dimensional modeling, database normalization, conceptual/logical/physical models.
- Develop and optimize data warehouse, ODS, and data mart architectures to support AI and BI solutions.
- Define and implement data quality management practices to ensure data integrity, accuracy, and compliance.
- Develop and enforce data governance policies, standards, and procedures across the organization.
- Partner with business and IT stakeholders to drive data stewardship, ownership, and accountability.
- Ensure compliance with regulatory and industry standards (e.g., BCBS 239, GDPR, MAS Requirements).
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field.
- 10+ years of experience in data architecture, data warehousing, and enterprise data integration.
- 8+ years of consulting experience in Singapore and regionally.
- Strong expertise in Data Modeling (Dimensional modeling, Normalization).
- Proven track record of implementing data management solutions in large organizations.
- Excellent communication and stakeholder management skills to bridge technical and business requirements.