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Senior Vice President, Data Leader Manager
senior · Data Science & Analytics
We’re seeking a future team member in the role of Depositary Receipts (DR) and Global Payments & Trade (GP&T) Commercial Data Lead to join our Data Management team in New York, NY.
This role will shape and execute the DR and GP&T commercial data agenda, combining strong governance and control discipline with a commercial, execution-oriented mandate. The role will lead strategic data workstreams, enable AI-ready and reusable data products, strengthen end-to-end data risk management, and translate data investments into measurable business value across client, product, and commercial priorities.
In this role, you’ll make an impact in the following ways:
Lead strategy execution across DR and GP&T commercial data priorities
- Execute the DR and GP&T commercial data strategy in alignment with BNY’s enterprise data strategy and evolving Data & AI operating model.
- Steer priority data initiatives that support AI-enabled execution, platform delivery, governance, and risk-managed adoption.
- Translate business and commercial priorities into a clear execution roadmap, including prioritization, dependencies, milestones, and outcomes.
- Run governance and execution forums to oversee planning, escalation, OKRs, risk management, and decision-making.
- Lead process re-engineering efforts that improve data flows, reduce manual intervention, and support strategic goals.
Drive commercial office and business enablement outcomes
- Partner with commercial, product, client, and functional leaders to identify priority data needs that improve client insight, product management, commercialization, and business performance.
- Develop reusable and scalable data capabilities that support commercial use cases, management reporting, operational transparency, and opportunity identification.
- Connect data investments to measurable business outcomes, including adoption, efficiency, stronger controls, improved client outcomes, and value realization.
- Act as a connector across business, data, and technology teams to ensure commercial needs are reflected in strategy and delivery.
Drive data projects, transformation, and AI/data product readiness
- Sponsor or lead strategic data projects and initiatives across DR and GP&T commercial.
- Support enterprise remediation, cross-platform transformation, and modernization efforts where data readiness is critical.
- Partner with business and technology stakeholders to define requirements, clarify ownership, and deliver fit-for-purpose capabilities.
- Advance AI-ready data products and help scale data and AI responsibilities through a phased implementation approach.
Strengthen data foundations, governance, and execution discipline
- Define and prioritize critical data in partnership with governance and business leads, aligned to enterprise data management standards.
- Establish authoritative datasets, clear ownership, definitions, lineage, quality expectations, and remediation paths.
- Improve metadata, lineage, and rationalization practices to increase transparency, reuse, and control effectiveness.
- Own readiness and execution risk across the data user journey, coordinating resolution of dependencies, issues, and adoption barriers.
- Support completion of data maturity and readiness activities and track actions through closure.
Establish a strong control and responsible data use framework
- Partner with Data Quality, Data Privacy, Risk, and Controls leads to strengthen data quality, access, protection, and management practices.
- Support regulatory readiness and evidence control effectiveness across applicable data obligations.
- Enable safe and trusted reuse through strong provenance, permissible use, fit-for-purpose standards, and responsible sharing.
- Represent DR / GP&T commercial in enterprise and business data governance forums and contribute to broader data and AI governance discussions.
Deliver measurable value
- Track progress across governance, remediation, delivery, and business outcomes.
- Establish KPIs that demonstrate adoption, reuse, efficiency gains, control improvement, and commercial impact.
- Communicate progress, risks, tradeoffs, and value delivered to senior stakeholders.
To be successful in this role, we’re seeking the following:
- 7-10+ years of experience or equivalent work experience required
- Proven experience leading data strategy from concept through execution with a strong track record of delivery.
- Significant experience in enterprise data programs, ideally within financial services, with a strong focus on supporting commercial priorities in Payments and Depositary Receipts, including sales, client coverage, product performance, and business growth.
- Strong understanding of data governance, metadata, lineage, data quality, controls, and regulatory expectations.
- Experience translating governance and remediation priorities into business enablement, reusable data products, and AI-readiness outcomes.
- Ability to align data investments to commercial goals, operating efficiency, control outcomes, and platform delivery.
- Proven success managing complex cross-functional programs across business, product, technology, risk, controls, privacy, and data stakeholders.
- Strong analytical, problem-solving, and execution skills, including experience with Agile delivery and prioritization.
- Experience with data governance tooling, data profiling, remediation, and quality improvement practices.
- Strong executive communication, stakeholder management, and people leadership skills, with the ability to influence across senior levels and operate strategically and hands-on.