Data Governance-Risk & Compliance Data Leader

BNY Mellon - Lake Mary, FL

Full-time - Mid Level

Lake Mary, FL

10,001+ employees

Credit Intermediation and Related Activities

About the position

As a Data Governance Risk & Compliance Data Leader at BNY Mellon, you will play a pivotal role in establishing a robust Data Governance framework and driving data quality across the organization. This position is integral to the Data Engineering team and will be based in either Pittsburgh, PA or Lake Mary, FL. You will lead a team of data professionals, overseeing the data stewardship program to ensure the quality, integrity, and governance of critical data assets, particularly within the Risk and Finance sectors. Your leadership will be crucial in defining data stewardship policies and processes, collaborating with stakeholders to promote data management sustainability and excellence. In this influential role, you will be accountable for the enterprise data quality process, including its performance and the resource and technology plans that support it. You will work closely with Data Leaders and Stewards across BNY Mellon to ensure compliance with established policies, while implementing robust data quality monitoring and addressing any issues that arise. Your responsibilities will include establishing data quality metrics and KPIs, leading the resolution of data quality issues, and developing data lineage documentation to support governance and compliance activities. You will also collaborate with various data management teams to ensure alignment with enterprise data management policies and standards. As a subject matter expert in data stewardship best practices, you will provide guidance and support to stakeholders across the organization, ensuring that data governance principles and regulatory requirements are met effectively. This role offers a unique opportunity to drive significant business value by improving the quality of critical data assets and enhancing the overall data governance framework at BNY Mellon.

Responsibilities

• Oversee the data stewardship program ensuring the quality, integrity, and governance of critical data assets across Risk and Finance organization.
• Lead a team of data stewards, define data stewardship policies and processes, and collaborate with stakeholders to drive data management sustainability and excellence.
• Define data stewardship roles, responsibilities, and accountabilities and establish clear guidelines for data stewardship activities and workflows.
• Collaborate with business units, data owners, and data custodians to identify critical data assets, define data quality requirements, and establish data quality metrics and KPIs.
• Establish data quality monitoring processes and tools to detect, measure, and report on data quality issues and anomalies.
• Lead the resolution of data quality issues, working cross-functionally to identify root causes, implement corrective actions, and prevent recurrence.
• Develop and maintain data lineage documentation and mappings to support data governance, regulatory, compliance, and data lineage analysis activities.
• Collaborate with data management teams, including data architecture, data engineering, and metadata management to ensure alignment and integration of data stewardship activities in accordance with enterprise data management policies and standards.
• Serve as a subject matter expert on data stewardship best practices, methodologies, and tools and provide guidance and support to stakeholders across Risk and Finance.

Requirements

• 5-10 years of total work experience with at least 3-5 years in a management role preferred.
• Experienced in Data and Metadata Management, from concept to implementation with a demonstrable track record of delivery.
• Experience over operational activities (business analysis, testing, etc.), reference data and/or enterprise data management or data governance preferred.
• Strong stakeholder management and people skills, with the ability to manage multiple competing priorities under pressure.
• Familiarity with Agile methodology and active participation in scrums such as backlog refinement, sprint planning, and execution.
• Strong understanding of data governance principles, data quality management concepts, and regulatory requirements (e.g. BCBS 239, GDPR).
• Experience with data governance tooling and technologies, data profiling, data cleansing, and data remediation techniques.
• Strong analytical and problem-solving skills with the ability to analyze complex data issues and drive effective solutions.
• People leadership skills, able to inspire and build momentum across a global team.

Nice-to-haves

• Experience in financial services or a related industry.
• Familiarity with data lineage and data catalog management tools.
• Knowledge of regulatory compliance frameworks and their implications on data governance.

Benefits

• Inclusive workplace culture that promotes diversity and innovation.
• Family-friendly employment policies and employee forums.
• Opportunities for professional development and career growth.
• Recognition as a top employer for diversity and inclusion.