Reference #: 55791 DATA GOVERNANCE Bring your ideas. Make history. At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world's financial system we touch nearly 20% of the world's investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about. We're seeking a future team member in the role of DATA GOVERNANCE to join our ENTERRPISE DATA MANAGEMENT team. This role is in Pittsburgh, PA- HYBRID As a Data Leader - you will lead a team of data professionals to establish a robust Data Governance framework and drive data quality throughout BNY Mellon. You will be a very influential position within EDM and will have the opportunity to drive tremendous business value as we look to improve the data quality of our most critical data. You will be accountable and own the enterprise data quality process, the performance of that process and the resource and technology plan to support this process. As a Data Governance Lead, you will work very closely with the Data Leaders and Stewards across the BNY Mellon to ensure compliance to Policy, while robust DQ monitoring is in place and appropriate attention to issue remediation applied. As part of EDM, our Divisional Data Officer team is responsible for design, delivery and adoption of many of the enterprise Data Governance processes including Data Quality Management, Issue Management and Remediation, Data Lineage Management, Data Catalog Management, Business Glossary Management, etc. In this role, you'll make an impact in the following ways: Overseeing 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 process, and collaborate with stakeholder 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 unites, 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 cause, implement corrective action 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 an provide guidance and support to stakeholders across Risk and Finance. To be successful in this role, we're seeking the following: Experienced hands-on Data and Metadata Management, from concept to implementation with a demonstrable track record of delivery. 5-10 years of total work experience with at least 3-5 years in a management preferred. 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, and the ability to manage multiple competing priorities under ressure. You will have strong analytical and management skills, are familiar with Agile methodology and played an active role in scrums such as backlog refinement, sprint planning and execution. The ability to apply backlog prioritization to define sprint goals and enable iterative deliveries is key. 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, be able to inspire and build momentum across a global team but you are also a team player, happy to roll up your sleeves when needed. At BNY, our culture speaks for itself. Here's a few of our awards: America's Most Innovative Companies, Fortune, 2024 World's Most Admired Companies, Fortune 2024 Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024 Best Places to Work for Disability Inclusion, Disability: IN - 100% score, 2023-2024 "Most Just Companies", Just Capital and CNBC, 2024 Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024 Bloomberg's Gender Equality Index (GEI), 2023

Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

BNY Mellon is an Equal Employment Opportunity/Affirmative Action Employer. Minorities/Females/Individuals With Disabilities/Protected Veterans.