Data Governance Operations

Saaki Argus and Averil Consulting

Chennai, Tamil Nadu, India5h agovia LinkedIn

Key Responsibilities

  • Data Governance Operations
  • Support the implementation and continuous improvement of the Bank’s Data Governance Framework.
  • Coordinate data governance activities across Business Units (BUs) and Support Units (SUs).
  • Facilitate collaboration with Data Owners, Data Stewards, and key stakeholders.
  • Support governance forums, working groups, and committees through meeting preparation, reporting, and action tracking.
  • Monitor adherence to data governance policies, standards, and procedures.
  • Track data-related issues, remediation plans, and governance performance metrics.
  • Prepare regular governance reports and management dashboards.
  • Metadata Management, Data Lineage & KDU/KDE Governance
  • Maintain and enhance the enterprise metadata repository and business glossary.
  • Coordinate the identification, documentation, and approval of Critical Data Elements (KDEs) and Key Data Usage (KDU) processes.
  • Facilitate the documentation and maintenance of end-to-end data lineage across systems, applications, and reports.
  • Ensure lineage captures data sourcing, transformation, movement, consumption, and regulatory reporting requirements.
  • Maintain data asset inventories and support metadata quality assessments.
  • Monitor the completeness, accuracy, and consistency of metadata, lineage, and data ownership information.
  • Collaborate with business and technology teams to resolve metadata and lineage gaps.
  • Data Analytics & Regulatory Reporting Support
  • Partner with business, analytics, and reporting teams to understand data requirements.
  • Support data discovery and sourcing through metadata and lineage capabilities.
  • Facilitate access to trusted, governed, and well-documented data for analytics and reporting.
  • Assist in establishing consistent data definitions, standards, and business rules.
  • Support regulatory reporting, management reporting, and strategic analytics initiatives through appropriate governance controls.
  • Help ensure critical reporting data is traceable, well-defined, and properly governed.
  • Data Governance Training & Awareness
  • Develop and deliver data governance training programs for Business Units and Support Units.
  • Design and maintain bank-wide e-learning modules covering data governance principles, policies, standards, and framework requirements.
  • Conduct awareness initiatives to promote data ownership, stewardship, and accountability.
  • Support onboarding and refresher training for Data Owners, Data Stewards, and other stakeholders.
  • Monitor training participation and effectiveness.
  • Identify opportunities to improve training content and governance awareness.
  • Stakeholder Management & Regulatory Support
  • Collaborate with Data Owners, Data Stewards, Technology Teams, Risk Management, Compliance, and Internal Audit.
  • Act as a subject matter resource on data governance, metadata management, and data lineage practices.
  • Facilitate communication and coordination across business and technology stakeholders.
  • Support regulatory reviews, internal audits, and compliance assessments related to data governance and management.
  • Assist stakeholders in addressing data governance observations and remediation requirements.
  • Continuous Improvement & Data Governance Tools
  • Identify opportunities to improve data governance processes, operating models, and governance controls.
  • Promote automation and operational efficiency in metadata, lineage, and governance maintenance.
  • Support the implementation, configuration, and enhancement of data governance platforms such as Collibra, Informatica, or equivalent tools.
  • Drive improvements in metadata quality, lineage coverage, data ownership, and governance reporting.
  • Contribute to the development of governance standards, procedures, and best practices.

Requirements & Tech Stack

  • Experience in Data Governance, Data Management, Metadata Management, or Data Lineage within the banking or financial services sector.
  • Strong understanding of data governance frameworks, policies, standards, and operating models.
  • Hands-on experience with metadata repositories, business glossaries, data catalogs, and lineage documentation.
  • Knowledge of Critical Data Elements (KDEs), Key Data Usage (KDU), data ownership, and data stewardship.
  • Experience working with Data Owners, Data Stewards, technology teams, and regulatory reporting stakeholders.
  • Familiarity with data governance tools such as Collibra, Informatica, Alation, IBM Watson Knowledge Catalog, or equivalent platforms.
  • Understanding of data quality, regulatory reporting, and data management controls.
  • Strong stakeholder management, communication, documentation, and presentation skills.
  • Experience in developing training programs, e-learning content, or data governance awareness initiatives.
  • Strong analytical, coordination, and problem-solving abilities.

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