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Company Overview
The bank provides a full suite of financial products, including asset management, banking, commodities, credit cards, equities trading, insurance, investment management, mortgage loans, mutual funds, and exchange-traded funds. It leverages its extensive global network to connect clients to sustainable growth opportunities across its key regions.
Metadata Delivery Lead, Group CDO
Responsibilities
The Metadata Delivery Lead will act as a change agent for the data governance strategy of critical data elements, aligning with the newly designed CDE Identification and governance framework. This role involves developing, leading, prioritizing, and managing delivery to ensure programme timeframes, KPIs, and milestones are achieved.
Key responsibilities include:
Establishing governance frameworks to monitor and manage risks, issues, and dependencies across multiple change programs.
Identifying, tracking, and reporting delivery and governance risks from various workstream leads and program leadership.
Establishing mitigation and resolution plans for program risks and tracking them to completion, providing transparent reporting to relevant stakeholders.
Conducting thorough assessments to identify the impact of changes on people, processes, technology, and culture within the organization.
Designing and implementing communication plans tailored to different stakeholder groups, ensuring transparency and buy-in in close collaboration with the ED, Global Lead Critical Data Workstream.
Identifying potential resistance to change and developing strategies to mitigate it, fostering an environment of collaboration and openness.
Collaborating with various Business and Functions to ensure seamless integration of change initiatives across the group.
Defining OKRs and key performance indicators (KPIs) to measure the success of change initiatives and making data-driven adjustments as necessary, in close collaboration with the ED, Global Lead Critical Data Workstream.
Facilitating data governance forums and working groups to drive alignment and accountability.
In collaboration with Workstream 6 (Know your data), developing and delivering training programs to increase awareness and understanding of data governance principles and the importance of critical data elements.
Providing guidance and support to data stewards and other stakeholders on CDE data governance-related matters, including supporting the eventual implementation of Agentic AI to enhance consistency and boost data steward efficiency.
Applying modern clusterization techniques to identify, define, and govern critical data elements in collaboration with business stakeholders.
Ensuring proper documentation and metadata management for all critical data elements.
Supported by business analysts, measuring data quality issues (e.g., IMR, ERRs, S166s) pre-changes and monitoring their development, providing feedback on the design efficacy of the new CDE data governance strategy to the ED, Global Lead Critical Data Workstream.
Ensuring that data governance practices for critical data elements comply with relevant regulatory requirements and industry standards, including but not limited to BCBS239 compliance, and that the new strategy implementation does not break regulatory compliance.
Skills & Experience
15+ years of experience in data governance, data management, or a related field.
Strong understanding of data governance frameworks, data quality management, and regulatory compliance.
Excellent project management skills with the ability to lead cross-functional teams.
Strong analytical and problem-solving skills.
Experience working in the financial services industry.
Excellent understanding of GSIFI Regulatory Reporting across Finance and and Risk, including BCBS239.
Excellent communication and interpersonal skills.
Familiarity with AI use cases and applications to data governance, including Agentic AI, is a plus.
Experience with data governance tools and technologies is a plus.
Experience and understanding of logical data model design and implementation.
Qualification
Bachelor’s degree in Information Management, Data Science, Business Administration, or a related field. An advanced degree is preferred.
Disclaimer
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