Senior Consultant - Banking Data Governance

MORGAN MCKINLEY PTE. LTD.

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+
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Job summary

Morgan McKinley Pte. Ltd. is seeking a Senior Consultant - Banking Data Governance with expertise in business analysis to drive end-to-end data governance and regulatory compliance.

You will lead BCBS 239 gap assessments and remediation, identify critical data elements, map data lineage, and coordinate with business users, IT and vendors. Ideal candidates hold a Bachelor's in CS or related field with 5–12 years in Data Governance/Data Management in Banking/FS, and strong capabilities in data

Qualifications

  • Bachelor's Degree in Computer Science or a related field.
  • 5–12 years of experience in Data Governance/Data Management, ideally in Banking/Financial Services; total exp not more than 15 years.
  • Solid understanding of banking operations, regulatory reporting, risk management and related data governance requirements.
  • Strong data analysis to trace data sourcing, transformation and generation across systems.
  • Excellent communication and stakeholder management across business, IT and vendors.
  • Experience in BCBS239, RDARR and governance frameworks within Banking/FS sectors.
  • Experience with data governance tools (e.g., Collibra, Informatica) is advantageous.

Responsibilities

  • Identify and define CDEs based on regulatory reporting requirements and business priorities.
  • Develop and maintain data flow diagrams, data dictionaries, and metadata documentation.
  • Map data elements from source systems to regulatory and management reporting needs.
  • Standardize data definitions and business rules for consistency.
  • Engage business users, IT teams and vendors to gather requirements and validate data lineage.
  • Assess data quality gaps and propose remediation initiatives.
  • Define data quality controls and monitoring processes.
  • Establish end-to-end data lineage across sourcing, transformation and reporting layers.
  • Assess governance frameworks against BCBS239 principles and org standards.
  • Conduct gap assessments and remediation actions to strengthen regulatory compliance.
  • Support regulatory reviews with documentation and evidence.

Skills

BCBS239 RDARR
Data governance
Data lineage
Data dictionaries
Stakeholder management
Regulatory reporting

Education

Bachelor's Degree in Computer Science or related field

Tools

Collibra
Informatica
Other data governance tools

Job description

Job Summary:

We are seeking a Senior Consultant - Banking Data Governance with expertise in Business Analysis on the data governance project in driving end-to-end data governance and regulatory compliance initiatives by identifying Critical Data Elements (CDEs). Lead BCBS 239 (Risk Data Aggregation & Risk Reporting) gap assessments and regulatory remediation from banking industry.

Key Responsibilities:
  • Identify and define critical data elements (CDEs) based on regulatory reporting requirements and business priorities.
  • Develop and maintain data flow diagrams, data dictionaries, and metadata documentation.
  • Identify source systems and map data elements to regulatory and management reporting requirements.
  • Standardize data definitions, business rules, and data specifications to ensure consistency across the organization.
  • Engage business users, reporting teams, IT teams, and vendors to gather requirements and validate data lineage and governance processes.
  • Assess data quality issues, including completeness, accuracy, consistency, and granularity gaps, and recommend improvement initiatives.
  • Define and recommend data quality controls, including validation, reconciliation, exception management, and monitoring processes.
  • Establish and validate end-to-end data lineage, covering data sourcing, transformation, and reporting consumption layers.
  • Assess data governance frameworks and processes against BCBS239 principles and organizational standards.
  • Conduct gap assessments and recommend remediation actions to strengthen regulatory compliance and data governance maturity.
  • Support regulatory reviews, audits, and governance assessments through documentation and evidence preparation.
  • Define data governance KPIs, data quality metrics, and issue management processes to enhance governance effectiveness.
  • Prepare governance reports, status updates, and management presentations for key stakeholders.
Requirements:
  • Bachelor's Degree in Computer Science or a related field.
  • Minimum 5 - 12 years of experience in Data Governance or Data Management, preferably within the Banking or Financial Services industry. Over all experience not more than 15 years
  • Solid understanding of banking operations, regulatory reporting, risk management, and related data governance requirements is required.
  • Strong data analysis skills with the ability to identify and assess how reporting data is sourced, transformed, and generated across systems is required.
  • Strong analytical and logical thinking skills, with the liability to interpret reporting requirements and establish end-to-end data lineage.
  • Excellent communication and stakeholder management skills, with the ability to collaborate effectively with business users, IT teams, and external vendors.
  • Prior experience in BCBS239, Risk Data Aggregation and Risk Reporting (RDARR), and data governance frameworks within the Banking and Financial Services industry.
  • Proven experience in establishing or enhancing data lineage, data dictionaries, metadata management, and data quality frameworks.
  • Experience conducting BCBS239 assessments, control reviews, regulatory compliance reviews, or remediation programs is mandatory.
  • Ability to translate regulatory requirements into practical governance controls, operating processes, and implementation roadmaps.
  • Experience with data governance tools such as Collibra, Informatica, or equivalent platforms is advantageous.
  • Working knowledge of MAS reporting requirements and banking data structures is preferred.
  • Prior experience in banking data governance or enterprise data management initiatives is preferred.

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