Data Governance Analyst

Accountabilities:

• Support the design, implementation, and ongoing operation of data governance processes covering data quality, data lineage, metadata management, and business glossary development.
• Define and maintain business glossary terms, data domains, data elements, and associated definitions in collaboration with business and technology stakeholders.
• Document and maintain end-to-end data lineage across source systems, transformation layers, and consumption platforms to support traceability and regulatory reporting.
• Design, implement, and monitor data quality rules, scorecards, and dashboards while investigating data-quality issues and coordinating remediation with data owners and stewards.
• Support data stewardship operating models by defining and maintaining roles, responsibilities, ownership structures, and escalation workflows.
• Contribute to data governance policies, standards, and procedures aligned with relevant capital-markets regulatory expectations, including BCBS 239, SR 11-7, CCAR, and MiFID II.
• Serve as a subject matter expert for Collibra Data Governance Center, including workflow configuration, asset model design, administration, and platform optimization.
• Build and maintain Collibra workflows supporting glossary approvals, data-quality issue management, lineage certification, and other governance processes.
• Configure and maintain Collibra Data Quality & Observability integrations, including scanning, profiling, and data-quality rule authoring.
• Integrate Collibra with source systems and modern metadata platforms such as Databricks, Snowflake, and ETL/ELT pipelines to automate technical metadata and lineage capture.
• Manage Collibra domains, communities, user roles, and permissions while supporting user onboarding, training, and broader platform adoption.
• Work with platform and technology teams to assess new Collibra capabilities and recommend enhancements to improve governance effectiveness.
• Engage directly with capital markets stakeholders, including data owners, compliance teams, risk professionals, and technology teams, to gather requirements and translate them into governance solutions.
• Prepare governance documentation, training materials, progress reports, and presentations for both client and internal leadership audiences.
• Contribute to consulting engagements through discovery workshops, client presentations, proposals, and other delivery activities as required.

Requirements:

• 3–6+ years of experience in data governance, data management, data quality, or a closely related discipline, preferably within capital markets or broader financial services.
• Hands-on, SME-level experience configuring and administering Collibra Data Governance Center, including workflows, asset models, and Data Quality & Observability.
• Strong understanding of core data governance principles, including data quality frameworks, metadata management, business glossary development, data lineage, and data stewardship.
• Working knowledge of capital markets data domains such as trade, position, reference/security master, counterparty, and risk data.
• Understanding of financial-services regulatory requirements and their implications for data governance, with exposure to frameworks such as BCBS 239, CCAR, SR 11-7, or MiFID II.
• Experience working with data owners, data stewards, custodians, technology teams, and other stakeholders to operationalize governance frameworks.
• Strong ability to translate complex technical and governance concepts into clear, business-focused language for client stakeholders.
• Excellent written and verbal communication skills, with confidence presenting information to business, technology, compliance, and leadership audiences.
• Experience with modern data platforms such as Databricks, Snowflake, or Dataiku and their integration with Collibra for automated metadata and lineage capture is an advantage.
• Collibra certifications such as Collibra Ranger or Collibra Certified Data Steward/Admin are highly desirable.
• Previous experience in consulting, professional services, or client-facing enterprise environments is preferred.
• Bachelor's degree in Information Systems, Finance, Data Science, Computer Science, or a related field, or equivalent professional experience.
• Strong analytical, organizational, and problem-solving abilities with a structured approach to complex data-management challenges.

Benefits:

• Opportunity to work on data governance initiatives supporting sophisticated capital markets and financial-services environments.
• Hands-on exposure to Collibra Data Governance Center, Data Quality & Observability, metadata management, and automated data lineage.
• Experience working with modern data platforms including Databricks, Snowflake, Dataiku, and enterprise ETL/ELT environments.
• Exposure to major financial-services regulatory frameworks and enterprise data governance programs.
• Direct collaboration with business, technology, risk, compliance, and data leadership stakeholders.
• Opportunity to contribute to consulting engagements, discovery workshops, client presentations, and enterprise transformation initiatives.
• Professional development through exposure to advanced data governance practices, modern data technologies, and regulatory programs.
• Collaborative environment that encourages continuous learning, innovation, and knowledge sharing.
• Competitive compensation and benefits according to the applicable employment terms.
• Opportunities for career development within a global technology and consulting environment.