Sr. Product Manager - Investment Management Data, Analytics AI, VP III - Investment Management

State Street Investment Management's Data, Analytics & AI Services (DAAIS) organization is seeking an experienced Senior Data Product Manager, Vice President to lead the design, development, and delivery of strategic data products and software-enabled business solutions across the investment management enterprise.

This role sits at the intersection of investment management, data, and technology. The successful candidate will partner with stakeholders across the organization to identify opportunities, define product requirements, and translate business needs into scalable data and software solutions that create measurable business value.

The ideal candidate combines deep investment management domain expertise with strong product management and software delivery experience. They are equally comfortable engaging with business leaders, data teams, architects, and software engineers, and have a proven track record of converting complex requirements into actionable product roadmaps and engineering deliverables.

This is not a traditional reporting, analytics, or data governance role. It is a hand-on product leadership position focused on defining, building, and delivering enterprise capabilities that support the evolving needs of a modern investment management organization.

The successful candidate is intellectually curious, self-motivated, and driven to understand both business challenges and technology opportunities. They are comfortable operating in ambiguous environments, asking thoughtful questions, challenging assumptions, and driving initiatives from concept through production delivery.

• Define and execute the vision, roadmap, and lifecycle management strategy for strategic data products and software-enabled business capabilities.
• Identify opportunities to improve business processes, decision-making, operational efficiency, and client outcomes through innovative data and technology solutions.
• Partner with stakeholders across investment management functions to understand business objectives, prioritize initiatives, and align product investments with strategic goals.
• Evaluate emerging technologies, industry trends, and market opportunities to inform future product direction.

• Translate complex business requirements into product specifications, functional designs, user stories, acceptance criteria, and prioritized engineering backlogs.
• Lead product discovery, requirements gathering, feature definition, solution design, implementation planning, testing, deployment, and adoption.
• Decompose large business problems into actionable capabilities and incrementally deliver value through agile methodologies.
• Ensure solutions are scalable, maintainable, and reusable across multiple business functions and use cases.
• Serve as the primary liaison between business stakeholders and engineering teams, ensuring alignment throughout the delivery lifecycle.

• Lead product development efforts across key investment management data domains, including investment, portfolio, product, client, market, reference, operational, distribution, and financial data.
• Define information models, business processes, workflows, data requirements, and operating procedures that support enterprise capabilities.
• Partner with business and technology teams to improve data quality, accessibility, usability, and governance.
• Support strategic initiatives, operating model transformations, business growth objectives, regulatory requirements, and new product launches.

• Work closely with architects, engineers, and platform teams to design and deliver modern software-led data solutions.
• Partner in the development of enterprise data platforms, reusable services, APIs, workflows, and intelligent automation capabilities.
• Balance business priorities, delivery timelines, technical complexity, and operational considerations when making product decisions.
• Drive adoption of modern product management and software delivery practices across the organization.

• Lead and influence cross-functional teams in a matrixed global organization.
• Mentor product managers, analysts, and technology professionals while fostering a culture of ownership, accountability, continuous learning, and execution excellence.
• Build strong partnerships across business, operations, technology, and leadership teams.
• Foster an environment of innovation, collaboration,…