The Bank of New York Mellon - Orlando, FL

posted 4 days ago

Full-time - Manager
Orlando, FL
10,001+ employees
Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

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 ENTERPRISE DATA MANAGEMENT team. This role is in Pittsburgh, PA or Lake Mary, FL- 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. 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.

Responsibilities

  • 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 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 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 and provide guidance and support to stakeholders across Risk and Finance

Requirements

  • 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
  • Strong stakeholder management and people skills, and the ability to manage multiple competing priorities under pressure
  • 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

Benefits

  • Highly competitive compensation
  • Benefits and wellbeing programs
  • Generous paid leaves, including paid volunteer time
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