Head of Client Data Solutions, MD - State Street Investment Management

Location:

London

Title:

Head of Client Data Solutions, MD

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 (MD) 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

* 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

* Develop a Client 360 by aggregating data feeds including client hierarchies, holdings, activity, and attribution into a trusted view of the client

* Turn foundation into curated intelligence: sales signals, predicted risks and redemptions, market and wallet share insights, and decision quality outputs

* Define the toolset needed for client intelligence: data science, knowledge graphs, generative interfaces, context engineering, and agentic workflows in partnership with stakeholders

* 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.

* Partner with stakeholders in the business to translate strategic questions into analytical solutions that are shipped, adopted, and used

* 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

* 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

* 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

* Develop AI Engineering skills across the group to take advantage of emerging technologies and accelerate momentum of outcomes

* 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

* 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

* Ensure strong governance, documentation, and transparency around data definitions, business logic, and methodologies

Qualifications

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