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.