VP Product Manager, Enterprise Data Platform

State Street Corp; Burlington (MA); Vor Ort; USD 110.000 - 208.000; Vollzeit

Zusammenfassung

State Street Alpha seeks a Vice President, Product Manager to own the strategy and delivery for our Enterprise Data Management platform services. You will define the vision, collaborate with engineering and client teams, and drive measurable client value.

You will lead core capabilities including entity resolution, reference data management and extensible data models, while ensuring release resiliency and a scalable, modular platform. Strong leadership and cloud-native expertise are essential.

Qualifikationen

• 10+ years in enterprise data management or SaaS product leadership.
• Deep knowledge of investment data domains and front-to-back investment lifecycle.
• Hands-on with security master, entity resolution, data lineage and cross‑referencing.

Aufgaben

• Own product strategy, roadmap and business case for EDM platform services.
• Define requirements for multi-tenant entity resolution across securities, issuers and reference data domains.
• Lead data management strategy for reference data (countries, exchanges, currencies).
• Drive metadata-driven data models and release resiliency.
• Collaborate with engineering, architecture, operations and client delivery to align roadmaps.
• Define success metrics and report progress to senior leadership.
• Mentor product managers and business analysts to raise technical excellence.

Kenntnisse

Product strategy

Roadmapping

Agile delivery

Jira/Confluence

Cloud-native

Executive presence

Ausbildung

Bachelor's degree

MBA preferred

Tools

Jira

Confluence

Jobbeschreibung

State Street Alpha seeks a Vice President, Product Manager to own the strategy and delivery for our Enterprise Data Management platform services. You will define the vision, collaborate with engineering and client teams, and drive measurable client value.

You will lead core capabilities including entity resolution, reference data management and extensible data models, while ensuring release resiliency and a scalable, modular platform. Strong leadership and cloud-native expertise are essential.