Vice President, ESG Data Solutions & Control

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

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We’re seeking a future team member for the role of Vice President within the Sustainability Hub to lead our ESG data architecture and drive governance, reusable data models and schemas. This is a HYBRID role located in New York City.

In this role, you’ll make an impact in the following ways:

• Define and maintain ESG logical/physical data models, schemas, naming standards, reuse patterns, and core architecture artifacts (data dictionaries, lineage) aligned to enterprise standards to support automation and downstream consumption

• Operationalize data-as-a-product principles to deliver governed ESG datasets with clear ownership, documentation, lineage, and quality SLAs

• Implement enterprise data governance standards (e.g., data contracts, CDE to PDE mappings, data quality controls) for ESG reporting and automation

• Build end-to-end lineage and controls across ESG sources; resolve definition and aggregation inconsistencies across entities, businesses, and regulatory views

• Define upstream data capture requirements to support automation, controls, and reuse

• Define data readiness criteria and lead gap analysis and remediation to improve data quality and reusability

• Provide decision-ready guidance to senior stakeholders; translate product priorities into governed designs and delivery plans

To be successful in this role, we’re seeking the following:

• 7+ years in data architecture, data engineering, or enterprise data management within complex, regulated environments

• Proven delivery of durable, enterprise-grade data architectures in partnership with engineering

• Experience designing scalable data models and executing enterprise data governance, including data contracts, CDE to PDE mapping, lineage, data quality controls, and SLAs

• Effective in matrixed, multi‑platform environments with the ability to communicate complex designs clearly to senior stakeholders.

• Understanding of AI-ready data concepts (provenance, feature readiness, data contracts for ML) and data mesh principles supporting agent-enabled workflows

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Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

• BNY is an Equal Employment Opportunity/Affirmative Action Employer

• Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

  BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $83,000 and $160,000 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 BNY 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.