Vice President, ESG Data Solutions & Controls

BNY • New York, NY

3d • Hybrid

About The Position

BNY is seeking a Vice President within the Sustainability Hub to lead ESG data architecture and drive governance, reusable data models, and schemas. The role is hybrid and located in New York City. The position focuses on developing governed ESG datasets and architecture that support reporting, automation, and downstream consumption, while providing decision-ready guidance to senior stakeholders.

Requirements

• At least 7 years of experience 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.
• Ability to work effectively in matrixed, multi-platform environments and communicate complex designs clearly to senior stakeholders.

Nice To Haves

• Understanding of AI-ready data concepts, including provenance, feature readiness, and data contracts for machine learning.
• Understanding of data mesh principles supporting agent-enabled workflows.

Responsibilities

• Define and maintain ESG logical and physical data models, schemas, naming standards, reuse patterns, and core architecture artifacts, including data dictionaries and lineage, aligned with enterprise standards.
• Operationalize data-as-a-product principles to deliver governed ESG datasets with clear ownership, documentation, lineage, and quality SLAs.
• Implement enterprise data governance standards for ESG reporting and automation, including data contracts, CDE-to-PDE mappings, and data quality controls.
• Build end-to-end lineage and controls across ESG sources and 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 and translate product priorities into governed designs and delivery plans.

Benefits

• Competitive compensation
• Benefits and wellbeing programs
• Flexible global resources and tools
• Paid leaves
• Paid volunteer time
• Commission earnings, discretionary bonuses, and short- and long-term incentive packages may be included depending on the position
• Company-sponsored benefit programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed