BNY Mellon - Pittsburgh, PA

posted 3 months ago

Full-time - Senior
Pittsburgh, PA
10,001+ employees
Credit Intermediation and Related Activities

About the position

As a Data Governance Implementation Lead at BNY Mellon, you will play a pivotal role in leading the implementation of a robust Data Governance framework that is essential for driving significant business value. This position is situated within the Risk and Finance Divisional Data Office team, and you will have the opportunity to work in a hybrid environment from either Pittsburgh, PA or Lake Mary, FL. Your primary responsibility will be to enhance the data quality of critical data assets by ensuring compliance with established policies and implementing effective data quality monitoring and issue remediation processes. In this role, you will collaborate closely with various Data Leaders and Stewards across BNY Mellon to ensure that the Data Governance Operating Model is effectively implemented. This model is designed to uphold the quality, integrity, and governance of critical data assets within the Risk and Finance organization. You will work with stakeholders to promote data management sustainability and excellence, identifying critical data assets, defining data quality requirements, and establishing data lineage. Additionally, you will engage with data management teams, including data architecture, data engineering, and metadata management, to ensure alignment with enterprise data management policies and standards. As a subject matter expert on the Data Governance Operating Model, you will provide guidance and support to stakeholders, ensuring that best practices are followed and that the organization meets regulatory requirements such as BCBS 239 and GDPR. Your success in this role will be driven by your hands-on experience in Data and Metadata Management, your strong stakeholder management skills, and your ability to manage multiple priorities under pressure. You will be expected to leverage your analytical and problem-solving skills to address complex data issues and drive effective solutions, while also inspiring and leading your team to achieve their goals.

Responsibilities

  • Lead the implementation of a robust Data Governance framework to improve data quality.
  • Collaborate with stakeholders to support data management sustainability and excellence.
  • Work closely with business units, data owners, and custodians to identify critical data assets and define data quality requirements.
  • Build data lineage and ensure alignment with enterprise data management policies and standards.
  • Serve as a subject matter expert on Data Governance Operating Model and provide guidance to stakeholders.

Requirements

  • 5-10 years of total work experience with at least 3-5 years in a management role preferred.
  • Hands-on experience in Data and Metadata Management from concept to implementation.
  • Strong understanding of data governance principles and data quality management concepts.
  • Experience with data governance tooling and technologies, data profiling.
  • Strong analytical and problem-solving skills.

Nice-to-haves

  • Familiarity with Agile methodology and experience in scrums such as backlog refinement and sprint planning.
  • Experience in operational activities such as business analysis and testing.

Benefits

  • Highly competitive compensation and benefits.
  • Access to flexible global resources and tools for personal and professional growth.
  • Generous paid leaves, including paid volunteer time.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service