VP, Data Operations & Client Solutions Lead

State Street; Princeton (NJ); On-site; USD 110,000 - 181,000; Full time

Job summary

State Street in Princeton, NJ seeks a Vice President to lead Multi‑Basis Accounting Data and PAM SaaS initiatives within Global Delivery Data Operations. You will guide data delivery, architect data solutions, and partner with technology and product teams to execute long‑term strategic plans.

You will manage a team of contributors, drive cross‑functional collaboration with Operations, Technology, and Product, and translate business needs into scalable data capabilities across front, middle, and

Qualifications

• Bachelor’s degree in finance, MIS, IT or related field.
• Data Analysis skills including SQL and data visualization tools like Power BI.
• 12+ years of experience in Accounting including Multi‑Basis Accounting Data, data analysis, Operations, or Product management.
• Experience managing individual contributors.

Responsibilities

• Establish partnerships with internal stakeholders to deliver data solutions and products.
• Client-facing role with oversight of reporting on data delivery methods.
• Liaise between business and technology teams to support product demand opportunities.
• Apply strong knowledge of front-to-back Investment management with focus on data requirements.
• Align data and technology investments with business goals.
• Communicate recommendations to senior leaders in writing and speaking.
• Assist with pricing strategies and product policies.

Skills

Data analysis

Leadership

Stakeholder management

Agile methodologies

Communication

Education

Bachelor’s degree in finance, MIS, IT

Tools

Jira

Confluence

Power BI

MS Access

Visio

PowerPoint

Job description

State Street in Princeton, NJ seeks a Vice President to lead Multi‑Basis Accounting Data and PAM SaaS initiatives within Global Delivery Data Operations. You will guide data delivery, architect data solutions, and partner with technology and product teams to execute long‑term strategic plans.

You will manage a team of contributors, drive cross‑functional collaboration with Operations, Technology, and Product, and translate business needs into scalable data capabilities across front, middle, and