Location: London
Title: Head of Client Data Solutions, VP3
Role Overview
State Street Investment Management (SSIM) is a global leader in asset management, entrusted with more than $5.5 trillion in assets. For more than three decades, investors worldwide have benefited from our disciplined, precise investment process and powerful global platform offering access to every major asset class, capitalization range and style across the indexing and active spectrums. SSIM is the investment management arm of State Street Corporation, one of the world’s leading providers of financial services to institutions.
We are seeking a Head of Client Data Solutions (VP3) to define and lead our client data, business intelligence, and decision intelligence capability. This newly created role leads a globally distributed team of analytics engineers, data scientists and BI developers, and will operate as both a strategic leader and hands-on contributor. You will unify our investment in reporting and insights with emerging decision intelligence approaches—so leaders can not only see what is happening, but make better, faster decisions and reliably track the impact of those decisions on commercial outcomes. SSIM’s ability to grow, defend share, and direct strategic investment depends on understanding the clients we serve. To enable deeper insights, this role brings together fragmented data sources into a holistic Client 360 that sharpens commercial decision‑making, measures decision adoption, and quantifies success through outcomes.
Key Responsibilities
1. Set and drive the strategy for client data and intelligence across the organization, serving as the bridge between the business and technology, translating corporate objectives into deliverable architecture
2. Develop a Client 360 by aggregating data feeds including client hierarchies, holdings, activity, and attribution into a trusted view of the client
3. Turn foundation into curated intelligence: sales signals, predicted risks and redemptions, market and wallet share insights, and decision quality outputs
4. Define the toolset needed for client intelligence: data science, knowledge graphs, generative interfaces, context engineering, and agentic workflows in partnership with stakeholders
5. Establish best practices to democratize intelligence with user considerations: style and format should match the audience for impact, whether: Next Best Action tools, high-impact Dashboards or Decision Ready insights or Self-service tools to democratize access to information for accelerated decision making.
6. Partner with stakeholders in the business to translate strategic questions into analytical solutions that are shipped, adopted, and used
7. Provide input and subject matter expertise into platforms that capture/consume client data (e.g. CRM, Marketing Automation, Client Onboarding, Client Portals, Meeting Intelligence and Data Platforms) and shape roadmaps so they serve the firm's data intelligence needs
8. Build and scale a global team of client data product owners data and analytics engineers, analysts, championing a culture of shared success, and establishing a hybrid agent and human capital operating model that lifts the team’s velocity
9. Define and track KPIs that measure the value of client data and intelligence—capturing decisions taken from insights, adoption of tools/content, and downstream business impact (e.g., pipeline, flows, retention)—and partner with data owners and stakeholders to deliver and sustain solutions
10. Develop AI Engineering skills across the group to take advantage of emerging technologies and accelerate momentum of outcomes
11. Demonstrate commercial impact by linking insights to decisions and outcomes—e.g., growth in targeted products invested in, redemptions retained, improved conversion, and decisions changed
12. Drive innovative ways of working: AI that knows what users are working on and pushes them what they didn't know they needed; generative interfaces that build themselves around the question; agent fleets that prep, draft, and act
13. Ensure strong governance, documentation, and transparency around data definitions, business logic, and methodologies
Qualifications
14. 8–15 years in analytics, analytics engineering, BI, or data engineering roles in a large/complex environment, with a track record of delivering client data and intelligence capabilities at scale in asset management
15. Domain expertise in the distribution landscape—vendors, gaps, and where the industry’s data infrastructure falls short
16. Strong collaboration skills, an ownership mindset, and experience working cross functionally to deliver measurable outcomes
17. Experience and judgement to feed into discussions on behalf of the business with other stakeholder groups to know what to build first, what to buy, when to partner, and what to stop, and the ability to defend that view
18. Demonstrated experience owning end‑to‑end client analytical products, from data modelling and transformation through dashboards, and stakeholder delivery
19. A bias toward incremental delivery, pragmatic outcomes, and removing barriers to ship
20. Proven ability to operate with senior executives, balancing strategic ambition with pragmatic delivery
21. Executive presence, with experience serving as a trusted advisor to senior leaders
22. Knowledge in making AI work in a business context: ML, data science, and genAI, including agentic frameworks
23. Technical fluency across AI, CRM, CDP, MDM, CLM, CMS, and Marketing Automation, with the ability to challenge vendors credibly and shape tooling decisions
24. Highly organized, with the ability to thrive in fast-moving and evolving environments
25. Leadership experience building and developing teams (hiring through advancement; active mentorship), with ability to think of future hybrid team models/structure
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.
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