Sr. Product Manager - Investment Management Data, Analytics, & AI, VP III - State Street Investment Management
State Street is hiring a Sr. Product Manager - Investment Management Data, Analytics, & AI, VP III - State Street Investment Management in Boston, United States. It pays $120k-$218k a year and Level rates it ; you can apply on State Street.
Level's read on this job
- Works on AI ●●●○ is how Level rates this AI product manager role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Jira, AI automation and product management.
- Level classifies it as a senior role.
- Level lists 1,300+ other open roles at State Street.
AI in this role
Lead the design, development, and delivery of strategic data products and AI-enabled business solutions for investment management.
About the Role
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 hands-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.
Key Responsibilities
Product Strategy & Vision
- 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.
Requirements & Solution Delivery
- 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.
Investment Management Data Leadership
- 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.
Software & Technology Partnership
- 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.
Leadership & Team Development
- 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, intellectual curiosity, and continuous improvement.
AI & Emerging Capabilities
- Evaluate and implement AI-enabled solutions that improve productivity, operational efficiency, and business outcomes.
- Partner with engineering teams to leverage modern AI technologies, intelligent workflows, and agentic capabilities where appropriate.
- Identify opportunities to apply structured and unstructured data assets to enhance business decision-making and user experiences.
Required Qualifications
- Bachelor's degree in Finance, Business, Computer Science, Information Systems, Engineering, or a related discipline.
- 15+ years of experience within asset management, investment management, financial services, or financial technology organizations.
- 10+ years of experience in Product Management, Data Product Management, Business Systems, Solution Design, or Software Delivery roles.
- Demonstrated experience delivering enterprise software applications, data platforms, or business technology solutions from concept through production deployment.
- Deep understanding of investment management business processes and operating models.
- Proven experience translating business requirements into software and data solutions.
- Strong experience managing product roadmaps, prioritization, requirements decomposition, backlog management, and delivery execution.
- Experience working directly with software engineering teams in Agile or similar delivery environments.
- Strong analytical and problem-solving skills with the ability to navigate ambiguity and complex business challenges.
- Exceptional written, verbal, and interpersonal communication skills.
- Demonstrated ability to influence stakeholders and drive alignment across business and technology organizations.
- Ability to operate independently while managing multiple initiatives in a fast-paced environment.
Characteristics of a Successful Candidate
The ideal candidate:
- Is intellectually curious and constantly seeks to understand how businesses, data, and technology intersect.
- Is self-motivated and highly accountable, capable of driving initiatives with limited direction.
- Possesses a strong sense of ownership and follows through from concept to production delivery.
- Can comfortably navigate between strategic discussions and detailed execution.
- Enjoys solving complex problems and creating clarity from ambiguity.
- Builds trust and credibility across both business and technology teams.
- Demonstrates sound judgment, pragmatism, and a bias toward action.
- Challenges assumptions constructively and continuously seeks opportunities for improvement.
- Has a passion for building products that create meaningful business impact.
Salary Range:
$120,000 - $217,500 AnnualThe range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
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How we rate this
Sr. Product Manager - Investment Management Data, Analytics, & AI, VP III - State Street Investment Management at State Street rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI product manager jobs at this level
Pay
- This job starts at
- $120k
- Typical AI product manager job
- $180k
This posting starts 33% below the typical AI product manager job. See AI product manager jobs
Questions you could be asked
- Tell me about a workflow you automated with AI tools, end to end.
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where data strategy was part of your work. What did you do?
- Tell me about a project where stakeholder management was part of your work. What did you do?
- Tell me about a project where software delivery was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Automation, Product Management, Data Strategy, Stakeholder Management, and Software Delivery. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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