Level

State Street

Investment Research Platform, Regional Lead - Vice President

AI in this role

databricks

Who are we looking for

Lead the transformation of the Investment Research technology ecosystem by building scalable, cloud-native research platforms, accelerating AI adoption, and enabling data-driven investment decisions across all asset classes. This role combines engineering leadership, architecture, research domain expertise, and delivery excellence to create next-generation capabilities for researchers, portfolio managers, and investment teams.

Why this role is important to us

The team you will be joining is a part of State Street Investment Management, one of the largest asset managers in the world. We partner with many of the world’s largest, most sophisticated investors and financial intermediaries to help them reach their goals through a rigorous, research-driven investment process. With over four decades of experience and trillions of dollars in assets under management, we offer one of the broadest selections of services across asset classes, risk profiles, regions and styles. As pioneers in index, ETF, and ESG investing, we are always inventing new ways to invest.

Join us if making your mark in the asset management industry from day one is a challenge you are up for.

What you will be responsible for

As an Investment Research Platform, Regional Lead - Vice President you will -

Research Platform Strategy

  • Define and execute the roadmap for a unified research platform supporting all asset classes.

  • Drive platform simplification, modernization, and cloud-native transformation.

  • Partner with Research, Investments, Data, and AI leaders to deliver strategic business outcomes.

AI & Research Innovation

  • Enable AI-powered research workflows that improve productivity, insight generation, and investment outcomes.

  • Drive adoption of Generative AI, Agentic AI, intelligent search, workflow automation, and advanced analytics.

  • Establish scalable and governed AI foundations for research teams.

Engineering & Delivery Leadership

  • Architect and deliver scalable, secure, enterprise-grade solutions leveraging modern cloud and data platforms.

  • Lead strategic transformation programs from concept through production.

  • Build reusable platform capabilities that accelerate onboarding, analytics, model development, and AI enablement.

  • Establish engineering excellence through modern development practices, automation, DevOps, and operational rigor.

Leadership & Talent Development

  • Lead and inspire an elite engineering team with a culture of ownership, urgency, innovation, and accountability.

  • Coach future leaders through candid feedback, mentorship, and continuous learning.

  • Build strong global partnerships across business, research, vendor, and technology organizations.

Required Qualifications

Technical Expertise

  • 15+ years of software engineering, data engineering, or platform engineering experience.

  • 5+ years leading engineering teams and large-scale delivery programs.

  • Strong architecture and design experience across modern data ecosystems.

  • Deep expertise in:

    • Databricks

    • Data Warehousing

    • ETL/ELT Design & Development

    • Data Modeling

    • Lakehouse Architectures

    • Distributed Data Processing

  • Strong programming experience in:

    • Python (preferred)

    • Apache Spark / PySpark

    • SQL

    • Unix/Shell Scripting

  • Experience with one or more cloud providers:

    • AWS

Research & Data Platform Experience

  • Proven experience architecting and delivering enterprise-scale data and analytics platforms.

  • Delivered at least two large-scale modernization or transformation programs.

  • Strong understanding of investment research workflows, research data, analytics platforms, and AI-enabled research capabilities.

  • Experience working with leading market data and research providers including Bloomberg, FactSet, S&P Global, Morningstar, MSCI, ICE, LSEG/Refinitiv, FTSE Russell, JPMorgan and other industry data providers.

  • Knowledge of vendor onboarding, entitlements, licensing, benchmark data, holdings, fundamentals, market data, and research content ecosystems.

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

Read our CEO Statement

How we rate this

Investment Research Platform, Regional Lead - Vice President at State Street rates 66 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.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Databricks

Questions you could be asked

  1. What's a project where you used Databricks hands-on?
  2. Describe a typical day in a role like this one: which parts run through AI directly?
  3. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: Databricks. 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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