Responsibilities:
- Act as the Data Governance SME, working closely with Finance and key stakeholders across Data Management, Risk Management, and IT.
- Drive data governance initiatives and ensure alignment with governance frameworks, regulatory requirements, and project objectives.
- Execute data governance activities, including KDE identification, EUC criticality assessments, data lineage, data quality, and control implementation.
- Identify and document data aggregation processes and support the implementation of data governance tools and solutions.
- Apply industry best practices and experience from data governance and regulatory transformation programs.
- Define project milestones, governance structures, and roles and responsibilities (R&R).
- Develop practical implementation plans by aligning project methodologies with the bank’s operating model.
- Collaborate closely with the BCBS239 program team to ensure alignment across workstreams and governance forums.
- Coordinate with stakeholders to ensure compliance with project standards, methodologies, and reporting requirements.
Requirements:
- Bachelor’s degree in Data Management, Information Systems, Finance, Accounting, Computer Science, or a related field.
- Minimum 5 years of experience in Data Governance, Data Management, or a related discipline within the financial services industry, preferably in banking.
- Experience supporting data governance, regulatory reporting, risk data, or data transformation initiatives.
- Proven ability to facilitate workshops and drive stakeholder alignment across business and IT teams.
- Hands-on experience with data governance concepts, including data ownership, data quality, data lineage, and controls.
- Strong English communication skills (written and spoken).
- Proficient in Microsoft Office applications, particularly PowerPoint, Excel, and Word.
- Experience working with Risk Management, Finance, or Accounting functions, particularly in regulatory or management reporting, will be advantageous.
- Knowledge of BCBS239, RDARR, or similar regulatory data programs will be preferred.
- Experience identifying Key Data Elements (KDEs), documenting end-to-end data lineage and data flows, and implementing data quality controls and monitoring processes will be preferred.
- Hands-on experience with data governance or data lineage tools (e.g., Collibra) will be an advantage.
- Understanding of regulatory reporting, internal reporting, finance/accounting processes, and related systems will be beneficial.
- Experience working with Japanese financial institutions will be advantageous.
- Project management experience, including progress tracking, issue management, risk management, and stakeholder management, will be preferred.
- Experience preparing reports and presenting updates to senior management and executives will be an advantage.
Vy
SYSTEMS PTE. LTD.
Vy Systems offers Technology talent sourcing services (G-TTSS) as one of its primary offering to the customers at global locations. We service our customers with ‘RESPONSIVENESS’ as a key factor and believe that timely response to a TTSS transaction accelerates the revenue, thus increasing the productivity that results in operational efficiency and profitability.