Senior Vice President, ESG Data Solutions & Controls
Senior Vice President, ESG Data Solutions & Controls
Role Responsibilities:
We’re seeking a Senior Vice President within the Sustainability Hub to lead ESG data governance and automation delivery across a matrixed environment. This role defines ESG regulatory and business-driven consumer requirements, drives delivery across data producers and engineering, and ensures governed data supports reporting, analytics, and AI-enabled use cases. This is a HYBRID role located in New York City.
In this role, you will make an impact in the following ways:
Lead the Sustainability Hub’s ESG data operating model across data producers, data management, engineering, and disclosure stakeholders.
Serve as the Hub’s senior data lead and primary point of contact with Data Management / the Divisional Data Office.
Translate ESG regulatory and business requirements into consumer requirements, including reusable datasets, critical data elements, and required dimensions.
Lead data producer engagement and data contract delivery, aligning scope, sourcing approach, timelines, and data quality expectations under BNY’s data mesh model.
Partner with engineering to define and deliver the consumer-side tech environment supporting ingestion, transformation, and delivery of governed datasets.
Own transformation of reusable datasets into ESG reporting outputs and downstream consumption patterns.
Ensure ESG data is structured to support AI-enabled use cases, including automation, analytics, and agent-based workflows (e.g., ELIZA).
Translate priorities into execution plans, decisions, and escalation paths.
Build and coach a high-performing team, driving accountability and delivery standards.
Qualifications:
To be successful in the role, we’re seeking the following:
10+ years of experience in data management, data architecture, or enterprise data delivery in complex, regulated environments, including ESG data.
Proven experience in executing data governance in mesh-aligned/ federated data models.
Strong understanding of consumer-side technical architecture and a track record of partnering with engineering to deliver enterprise-grade, production-ready data solutions
Demonstrated experience enabling AI-ready data usage through governed structures, reusable datasets, and well-defined downstream consumption patterns.
Strong executive communication and ability to align senior stakeholders across business, technology, and data management.