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Senior Vice President, Product Manager, Data Solutions & Services We're seeking a future team member for the role of Senior Vice President, Product Manager, Data Solutions & Services. This role is located in New York City. In this role, you'll make an impact in the following ways:
- Define and execute the product strategy for enterprise data capabilities, aligning the roadmap to DSS priorities, platform needs, business outcomes, and the firm's broader data and AI strategy.
- Advance DSS's five strategic pillars by improving resiliency through modernization, data quality, governance, accessibility through Data Mesh, and commercial value through reusable Data Products.
- Own the product roadmap for increasing enterprise consumption of authoritative data masters, including Unified Client Master, Unified Product Master, Security Master, and related reference-data capabilities.
- Partner with platforms and hubs to identify where local, fragmented, or duplicative data sources remain in use and develop practical migration and adoption plans toward authoritative enterprise masters.
- Convert platform adoption barriers into prioritized product requirements, backlogs, milestones, ownership, dependencies, acceptance criteria, and measurable delivery outcomes.
- Support modernization by identifying product priorities that strengthen resilience, reduce dependency on legacy data infrastructure, simplify integration patterns, and improve the reliability of foundational data services.
- Define product capabilities that improve data quality, issue detection, triage, remediation, feedback loops, and accountability for data at its source.
- Support governance embedding ownership, lineage, metadata, data-quality standards, permissible-use expectations, and governance requirements into product design and delivery.
- Support data Mesh by making governed enterprise data easier to register, certify, discover, access, and reuse across reporting, analytics, business applications, and AI-enabled solutions.
- Support commercial value by identifying reusable data-product opportunities, validating demand, defining target consumers, connecting products to measurable use cases, and tracking adoption and realized benefits.
- Shape product capabilities such as APIs, events, self-service onboarding, reusable integration patterns, reference implementations, and implementation guidance that make authoritative data easier for platforms to consume.
- Define and track product measures at the platform and application level, including master-data consumption, adoption progress, data-product usage, implementation milestones, service performance, and business outcomes.
- Partner across Product, Engineering, Architecture, Data Operations, Governance, Risk, Finance, and business teams to align investment, sequencing, delivery capacity, controls, and adoption commitments.
- Lead the full product lifecycle from discovery and prioritization through delivery, release, adoption, performance measurement, and continuous improvement.
- Communicate strategy, progress, value, risks, dependencies, and decisions through concise, data-driven materials for senior business and technology stakeholders.
- Act as a senior product leader and trusted advisor, influencing platforms and hubs that consume DSS capabilities without directly owning their engineering resources.
To be successful in this role, we're seeking the following:
- Bachelor's degree required or equivalent experience required.
- 8-10+ years of product management, data-product, platform-product, or related technology-delivery experience.
- Experience managing product roadmaps and end-to-end delivery in a complex enterprise environment.
- Strong understanding of enterprise data platforms, master/reference data, APIs, governance, and data quality.
- Demonstrated ability to influence senior stakeholders and lead cross-functional execution.
- Financial services or other regulated-industry experience is preferred.
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BNY Mellon
Sep 10, 2026