Senior Vice President, POM Product Management
Bny · New York, NY, United States
Weak hiring record · median 61 days open
All reasons
- This role has been posted 7 times
- 51% of this employer's openings are over 60 days old
In its favour
- Posted today
- Still listed on the employer's own board
We’re seeking a future team member for the role of Senior Vice President, POM Product Management to join our DSS and Service team. This role is located in New York
In this role, you’ll make an impact in the following ways:
- Provide dedicated SVP-level product management capacity in New York to accelerate delivery of trusted, governed, reusable enterprise data capabilities.
- Help 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.
- 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 trusted, governed, reusable data capabilities that drive business value.
To be successful in this role, we’re seeking the following:
- Bachelor’s degree or equivalent combination of education and experience required.
- 8+ years of product management experience, with strong data product experience.
- Strong stakeholder influence and the ability to independently drive complex cross-functional data platform deliverables.
- Demonstrated cross-functional leadership experience partnering with senior business, product, risk, governance, and technology stakeholders.
- This is a senior individual contributor role and does not require direct people management experience.
- 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.
- Financial services experience preferred.
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