BNY Mellon - Orlando, FL

posted 3 months ago

Full-time - Mid Level
Orlando, FL
10,001+ employees
Credit Intermediation and Related Activities

About the position

As a Data Governance Lead 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 part of the Enterprise Data Management (EDM) team and is located in either Pittsburgh, PA or Lake Mary, FL, with a hybrid work model. 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 organization. Your responsibilities will include defining data stewardship policies and processes, collaborating with stakeholders to promote data management sustainability, and establishing clear guidelines for data stewardship activities. In this influential role, you will work closely with Data Leaders and Stewards across BNY Mellon to ensure compliance with policies while implementing robust data quality monitoring. You will be accountable for the enterprise data quality process, including its performance and the resource and technology plan that supports it. Your impact will extend to developing and maintaining data lineage documentation, collaborating with data management teams, and serving as a subject matter expert on data stewardship best practices. This role requires a hands-on approach to data and metadata management, with a focus on delivering effective solutions to complex data issues. To succeed, you will need a strong background in data governance principles, data quality management concepts, and regulatory requirements such as BCBS239 and GDPR. You will also need to demonstrate strong analytical and problem-solving skills, as well as the ability to inspire and lead a global team while being a collaborative team player. Your experience should include operational activities, reference data management, and enterprise data governance, with a proven track record of delivery in these areas. This position offers a unique opportunity to drive tremendous business value by improving the data quality of BNY Mellon's most critical data assets.

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. BCBS239, 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.

Nice-to-haves

  • Experience in the securities or financial services industry is a plus.
  • Advanced degree in computer science or a related discipline, or equivalent work experience.

Benefits

  • Family-friendly, inclusive employment policies and employee forums.
  • Support for wellbeing and a balanced life.
  • Opportunities for professional growth and development.
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