About The Position

The Senior Vice President, POM Product Management will join the DSS and Service team in New York. This senior individual contributor role provides dedicated product management capacity to accelerate delivery of trusted, governed, reusable enterprise data capabilities. The role helps advance the five DSS data strategy pillars—Resiliency, Quality, Governance, Accessibility, and Commerciality—by productizing trusted data capabilities across Product Master, Security Master, and enterprise reference data domains. These capabilities support business operations, analytics, automation, AI enablement, and enterprise decision-making. The role is intended to improve execution capacity, reduce reliance on senior leaders for day-to-day product management, and accelerate delivery of data capabilities that drive business value.

Requirements

  • Bachelor’s degree or equivalent combination of education and experience.
  • At least 8 years of product management experience, with strong data product experience.
  • Strong stakeholder influence and ability to independently drive complex cross-functional data platform deliverables.
  • Demonstrated cross-functional leadership partnering with senior business, product, risk, governance, and technology stakeholders.
  • Strong strategic thinking, analytical, and problem-solving skills.
  • Ability to translate complex business and technology topics into clear strategies and actionable plans.
  • Experience working across large, cross-functional organizations.
  • Familiarity with data platforms, data governance, analytics, or AI.
  • Strong communication and stakeholder-management skills.

Nice To Haves

  • Financial services experience.

Responsibilities

  • Provide dedicated SVP-level product management capacity in New York to accelerate delivery of trusted, governed, reusable enterprise data capabilities.
  • Advance the DSS data strategy pillars of Resiliency, Quality, Governance, Accessibility, and Commerciality.
  • Productize trusted data capabilities across Product Master, Security Master, and enterprise reference data domains.
  • Support business operations, analytics, automation, AI enablement, and enterprise decision-making through scalable enterprise data capabilities.
  • Improve execution capacity, reduce reliance on senior leaders for day-to-day product management, and accelerate delivery of data capabilities that drive business value.
  • Drive complex cross-functional data platform deliverables and partner with senior business, product, risk, governance, and technology stakeholders.
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