Client Data Solutions & Head of Markets Intelligence Poland, VP2 - State Street Investment Management
State Street
- Location
- Krakow
- Employment
- Full Time
- Work model
- On-Site
- Level
- Staff
- Salary
- $6/hr
- Posted
- Aug 14, 2026
Skills
About this role
Title: VP2, Client Data Solutions & Head of Markets Intelligence Poland Location: Krakow (Poland) Role Overview State Street Investment Management 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. State Street IM 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 VP2, Client Data Solutions & Head of Markets Intelligence Poland to lead the continued evolution of our markets intelligence and client data capabilities in market. This role will sit in Krakow, operating at the intersection of client data, market intelligence, and advanced analytics—helping turn data into actionable insights that drive distribution, product strategy, and commercial outcomes. Reporting to the Head of Client Data Solutions, this individual will lead a team of analytics engineers, data analysts, and business intelligence developers. The role will focus on activating client and market data, scaling intelligence capabilities, and ensuring outputs are directly tied to measurable business impact such as flows, market share, and client engagement. This is a hands-on leadership role combining strong data expertise, commercial orientation, and a product mindset, helping the firm move from descriptive reporting toward embedded decision intelligence.
Key Responsibilities
Help drive the markets intelligence and client data strategy, aligning outputs to business priorities across the organization Leverage predictive analytics techniques (e.g., flows forecasting, client behavior insights) to enhance forward-looking decision-making, ensuring outputs are practical and embedded into business workflows Drive innovation in advanced analytics, including use of AI/ML, generative AI, and automation to enhance insight generation and delivery Translate client, flows, and market data into clear, actionable insights and signals that drive decision-making across distribution and product teams Lead and develop a Krakow-based hub of analytics engineers, analysts, and BI developers, establishing a high-performing, scalable delivery model aligned to global priorities Support integration of internal and external data sources (client holdings, flows, engagement data, market data, and third-party datasets) into curated intelligence products Partner with stakeholders to convert strategic business questions into production-ready analytical and data solutions adopted across the organization Ensure analytics outputs are delivered through intuitive, high-impact formats (dashboards, tools, and decision-support products) tailored to end users Define and track KPIs that measure the value of analytics and client data, including adoption, decision impact, and commercial outcomes such as flows and retention Ensure strong governance, data quality, and transparency across all datasets and analytical outputs Qualifications 7–12 years of experience in analytics, client data, markets intelligence, or advanced analytics roles, ideally within asset management or financial services Strong domain knowledge of asset management markets, distribution channels, and client dynamics Experience working with diverse datasets, including client, market, product, and third-party data sources Proven ability to translate data into clear insights and measurable business outcomes (e.g., improved flows, targeting, retention) Leadership experience managing teams, with the ability to scale and develop analytics and data capabilities Working knowledge of predictive analytics techniques (e.g., forecasting, segmentation, ML models), with an ability to apply them pragmatically in a commercial context Hands-on technical