Senior Vice President, Product Enablement — Product Practice

BNY Mellon•New York, NY

1d•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 Senior Vice President, Product Enablement to join our Product Practice team. This role is located in New York, NY. The Product Practice ensures BNY has world-class capabilities powering industry-leading products enabling us to deliver solutions at scale for our clients. The Product Practice sets standards and serves as enabler across the product lifecycle. The Senior Vice President of Product Enablement for the Product Practice is responsible for building and supporting the operating environment, capabilities, and governance that enables product teams to deliver consistent, measurable, and scalable outcomes. This role drives the standards, tooling, data products, and operating cadences required to strengthen product management effectiveness, improve decision quality through reliable product data and metrics, and accelerate adoption of AI-enabled ways of working. The Senior Vice President partners closely with Product, Engineering, Design, Data, Risk, Operations, and business stakeholders to improve how products are planned, instrumented, measured, governed, and continuously enhanced.

Requirements

Advanced degree in business, technology, data, or a related field.
10-12 years of experience
Experience in product management, product operations, product enablement, strategy, or a related leadership discipline within a complex, regulated organization.
Strong knowledge of product lifecycle management, portfolio governance, KPI design, performance reporting, and data-driven decision-making.
Demonstrated experience defining and operationalizing product taxonomies and mappings (e.g., product hierarchy, journey-to-product relationships, capability mapping), including ID strategy and governance to support rollups, reporting, and metric attribution.
Experience architecting data structures and infrastructure to enable seamless access and linkage of product context and capabilities across teams.
Demonstrated technical fluency in product analytics and reporting (e.g., SQL, KPI/metric design, dashboard development, data modeling/semantic layers, and instrumentation concepts) sufficient to partner effectively with data and engineering teams.
Familiarity with AI/ML-enabled tools and practical applications that support product management, workflow efficiency, insight generation, or decision support.
Knowledge of governance considerations related to AI, model risk, data privacy, and responsible technology use.
Experience leading cross-functional initiatives involving Product, Technology, Data, and business stakeholders.
Proven leadership capability, including organizational influence, talent development, and delivery through direct and matrixed teams.
Strong written and verbal communication skills, with the ability to engage effectively at executive level.

Responsibilities

Establish and evolve product management frameworks, including lifecycle practices, business case expectations, and outcome measurement standards.
Build and oversee a product data and metrics capability that enables consistent KPI/OKR definition, metric governance (definitions, owners, calculation logic), semantic layers, dashboarding, reporting automation, and actionable performance insights across the product portfolio.
Build and mature product analytics tooling (dashboards, self-service reporting, metric semantic layers, and standardized data products) in partnership with Data/Engineering; define requirements, ensure usability, and drive adoption across product teams.
Support AI enablement for Product by identifying practical use cases, supporting responsible adoption, and embedding AI tools and workflows that improve product strategy, discovery and planning, execution and delivery, product commercialization, and efficiency of product management and governance.
Drive portfolio-level visibility into product health, value realization, delivery progress, adoption trends, client outcomes, and operational risks.
Lead, develop, and inspire high-performing teams, fostering a culture of accountability, collaboration, continuous improvement, and innovation.