Director, Strategy Lead

BNY Mellon•New York, NY

6d•Onsite

About The Position

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. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Director, Data Strategy — DSS Platform to join our Data Solutions and Services team. This role is located in New York, NY. In this role, you’ll make an impact in the following ways: As Director, Data Strategy — DSS Platform, you will lead product strategy across cross-platform initiatives enabled by the DSS Platform. You will partner across business, product, technology, data, and control teams to shape priorities, align roadmaps, and deliver scalable platform capabilities. Lead product strategy across DSS Platform-enabled initiatives: Shape cross-platform priorities, roadmaps, and deliverables enabled by the DSS Platform across Security Master, Product Master, and other enterprise data domains. Drive roadmap alignment across data domains: Partner with product, platform, and business stakeholders to identify common needs, reduce fragmentation, and prioritize reusable capabilities that support enterprise data objectives. Advance the data strategy pillars: Translate Resiliency, Quality, Governance, Accessibility, and Commerciality into actionable platform initiatives with clear outcomes, ownership, and delivery milestones. Own large-scale strategic deliverables: Lead high-impact workstreams across platform modernization, data quality improvement, governance simplification, data access enablement, and data product commercialization. Translate strategy into execution: Move initiatives from concept to delivery by defining product outcomes, sequencing work, managing dependencies, resolving execution barriers, and ensuring clear accountability. Enable senior stakeholder alignment: Develop roadmap updates, decision materials, executive narratives, and performance reporting to help leaders make informed decisions on DSS Platform priorities. Lead data strategy for the DSS Platform: define and own strategic priorities, roadmaps, investment themes, and execution plans aligned to Data Solutions and Services and enterprise objectives. Advance the data strategy pillars: develop and execute initiatives across Resiliency, Quality, Governance, Accessibility, and Commerciality, ensuring platform work is clearly linked to enterprise data priorities. Own large-scale platform deliverables: lead high impact workstreams across platform modernization, data quality improvement, governance simplification, access enablement, and commercialization of data capabilities. Translate strategy into execution: move initiatives from concept to delivery by defining outcomes, sequencing work, managing dependencies, resolving execution barriers, and ensuring clear ownership.

Requirements

Bachelor’s degree or the equivalent combination of education and experience is required.
12 – 15 years of experience in strategy consulting, corporate strategy, enterprise transformation, product strategy, platform strategy, data strategy, or technology-enabled business transformation.
Proven ability to own and deliver large-scale enterprise or platform initiatives with senior executive visibility and cross-functional complexity.
Strong understanding of enterprise data platforms, data products, data governance, analytics, operating models, and platform modernization.
Strong people leadership skills, including the ability to manage teams, coach talent, and raise the quality of strategic analysis and execution.

Responsibilities

Lead product strategy across DSS Platform-enabled initiatives: Shape cross-platform priorities, roadmaps, and deliverables enabled by the DSS Platform across Security Master, Product Master, and other enterprise data domains.
Drive roadmap alignment across data domains: Partner with product, platform, and business stakeholders to identify common needs, reduce fragmentation, and prioritize reusable capabilities that support enterprise data objectives.
Advance the data strategy pillars: Translate Resiliency, Quality, Governance, Accessibility, and Commerciality into actionable platform initiatives with clear outcomes, ownership, and delivery milestones.
Own large-scale strategic deliverables: Lead high-impact workstreams across platform modernization, data quality improvement, governance simplification, data access enablement, and data product commercialization.
Translate strategy into execution: Move initiatives from concept to delivery by defining product outcomes, sequencing work, managing dependencies, resolving execution barriers, and ensuring clear accountability.
Enable senior stakeholder alignment: Develop roadmap updates, decision materials, executive narratives, and performance reporting to help leaders make informed decisions on DSS Platform priorities.
Lead data strategy for the DSS Platform: define and own strategic priorities, roadmaps, investment themes, and execution plans aligned to Data Solutions and Services and enterprise objectives.
Advance the data strategy pillars: develop and execute initiatives across Resiliency, Quality, Governance, Accessibility, and Commerciality, ensuring platform work is clearly linked to enterprise data priorities.
Own large-scale platform deliverables: lead high impact workstreams across platform modernization, data quality improvement, governance simplification, access enablement, and commercialization of data capabilities.
Translate strategy into execution: move initiatives from concept to delivery by defining outcomes, sequencing work, managing dependencies, resolving execution barriers, and ensuring clear ownership.