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Risk & Compliance Data Leader
3 months ago
Risk & Compliance Data Leader
Bring your ideas. Make history.
BNY 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” - 97% of the world’s top banks work with us as we lead and serve our customers into the new era of digital.
With over 238 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 50,000 employees across 35 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 Risk & Compliance Data Leader to join our DATA ENGINEERING team. This role is in NYC, NY - 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 Data Engineering, 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 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 (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 inclusive culture speaks for itself. Here’s a few of our awards:
- Fortune World’s Most Admired Companies & Top 20 for Diversity and Inclusion
- Bloomberg’s Gender Equality Index (GEI)
- Human Rights Campaign Foundation, 100% score Corporate Equality Index
- Best Places to Work for Disability Inclusion, Disability: IN – 100% score
- 100 Best Workplaces for Innovators, Fast Company
- CDP’s Climate Change ‘A List’
BNY Mellon assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $125,000 and $273,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNYM total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs.
This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.