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BNY

Safeguards and moves assets for investors

Senior Vice President - Data Transformation & Product Strategy

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeLake Mary, FL, USA$104k - $195kIn-person

About the Job

Requirements

  • At least 10 years of experience in product management, data product strategy, enterprise data transformation, technology delivery, or a related discipline.
  • Demonstrated success translating complex business and data needs into product roadmaps, requirements, operating models, and implementation plans.
  • Strong command of enterprise data platforms, integration, governance, quality, access, and reusable data products.
  • Proven ability to lead cross-functional delivery, navigate competing priorities, and influence senior stakeholders.
  • Strong analytical, communication, execution, and change leadership skills.
  • A bachelor's degree or equivalent professional experience in a relevant field.

Responsibilities

  • Define and execute the product vision, strategy, roadmap, prioritized capabilities, requirements, and measurable outcomes for enterprise data solutions.
  • Productize reusable data services, onboarding workflows, governance controls, and analytics- and AI-ready capabilities.
  • Orchestrate cross-functional delivery across Product, Engineering, Architecture, Operations, Governance, Risk, and business stakeholders.
  • Own scope, sequencing, dependencies, risks, release readiness, adoption, and stakeholder accountability across strategic initiatives.
  • Identify and deliver opportunities to eliminate duplication, simplify processes, expand automation, and improve scalability and operational efficiency.
  • Drive adoption of enterprise data capabilities by embedding authoritative data into critical applications and workflows.
  • Establish and reinforce common standards, reusable patterns, and platform commitments that support enterprise-wide consistency and scale.
  • Partner with stakeholders to ensure product strategy aligns with business priorities, operational needs, control requirements, and long-term enterprise value creation.
  • Track and measure business outcomes, adoption, and value realization from enterprise data investments.

Desired Qualifications

  • Experience in financial services, onboarding platforms, client data, master or reference data, analytics, automation, or AI enablement.
  • Experience with product operating models, Agile or SAFe delivery, KPI/OKR design, adoption measurement, and enterprise controls.
  • Working knowledge of data architecture, APIs, integration patterns, analytics platforms, and modern data technologies.

About the Company

BNY

Safeguards and moves assets for investors

BNY safeguards financial assets and runs investment services for institutions, investment firms and wealthy clients around the world. Its custody business keeps clients' securities safe and handles the records and transactions needed to administer investment funds. Banks and brokers use its systems to settle trades, manage collateral and send payments, while its investment and wealth businesses manage portfolios and advise clients. It earns servicing and management fees as well as interest on loans and securities funded by client deposits. BNY traces its roots to the Bank of New York, founded by Alexander Hamilton in 1784, and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1784

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