Senior Vice President, DATA GOVERNANCE

DATA GOVERNANCE

Bring your ideas. Make history.

BNY Mellon offers an exciting array of future-forward careers at the intersection of business, finance, and technology. We are one of the world's top asset management and banking firms that manages trillions of dollars in assets, custody and / or administration.

Known as the bank of banks - % of the world’s top banks work with us as we lead and serve our customers into the new era of digital.

With over years of rich history and industry firsts, BNY Mellon has been built upon our proven ability to evolve, lead, and drive new ideas at every turn.

Today, we’re approximately , employees across countries with a culture that empowers you to grow, take risks, experiment and be yourself.

This is what LifeAtBNYMellon 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 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 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.
• years of total work experience with at least - 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 pressure.

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 ( BCBS , 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 Mellon, our inclusive culture speaks for itself. Here’s a few of our awards :

• Fortune World’s Most Admired Companies & Top for Diversity and Inclusion
• Bloomberg’s Gender Equality Index (GEI)
• Human Rights Campaign Foundation, % score Corporate Equality Index

Disability : IN % score

• Best Workplaces for Innovators, Fast Company
• CDP’s Climate Change A List’

Manages a medium to large-sized or multiple small teams responsible for the planning, design and development of the corporate information bank.

Manages analysis of application data requirements for new and enhanced data processing applications and the development of conceptual and logical models of the data as a prerequisite for physical database design.

Coordinates the logical design of databases to promote data sharing and to reduce redundant data processes within the corporation.

Directs and provides guidance on the analysis and design of data models and logical databases at the data element level consistent with the corporate architectural models.

Manages the development of logical database designs across multiple computing environments (, host based, client server, distributed systems, Web, e-commerce).

Seeks opportunities to promote data sharing, and to reduce redundant data processes within the corporation by identifying common structures across application areas.

Defines, maintains, and enforces the use of standard naming conventions, and ensures that meta data captured in logical design phase is documented.

Provides comprehensive consulting to client and IT management and staff in the identification and resolution of information flow and content issues.

Recruits, directs, motivates and develops staff, maximizing their individual contribution, their professional growth and their ability to function effectively with their colleagues as a team.

Manages one or more data modeling / warehousing teams. Contributes to the achievement of team objectives. Advanced degree in computer science or a related discipline, or equivalent work experience required.

• years of experience in all phases of data modeling, data warehousing, data mining, data entity analysis, logical database design and relational database definition, or an equivalent combination of education and work experience required, experience in the securities or financial services industry is a plus..
30+ days ago