Head of AI Capability and Adoption - Investments, MD - State Street Investment Management
State Street
- Location
- Boston
- Employment
- Full Time
- Work model
- On-Site
- Level
- Staff
- Posted
- 15h ago
About this role
Make Tomorrow Happen. Advance your career at State Street. Role purpose: Serve as the senior Investments business owner for Artificial Intelligence (AI) — identifying where AI can improve investment outcomes, investment decision-making, and workflows across research, portfolio management, trading, investment oversight, client portfolio management, and investment operations. The role will help shape the future investment process by identifying how AI can become a sustainable competitive advantage across research, portfolio construction, risk management, trading, and client outcomes. Location: Boston, MA; India or London Purpose: The Head of AI Capability and Adoption - Investments will define and steward the use of AI across the investment lifecycle. This role partners with investment teams to identify where AI can enhance research, portfolio construction, trading, portfolio management, and client-facing workflows. Investment focus : This is not a generic enterprise AI, product management or transformation role. The successful candidate will bring strong investment domain knowledge and credibility to engage investment professionals in all front office functions on how AI can be applied responsibly to improve the investment workflows and business outcomes. This is a front-office focused leadership role at the intersection of investing and AI. The successful candidate will work directly with CIOs, asset class leaders, portfolio managers, research analysts, and traders to identify where AI can improve investment decisions, generate insights, enhance risk management, and strengthen client outcomes. How the role works: The role leads through an investment ecosystem of portfolio management, research, trading, operations, technology, data, and architecture partners. It frames priorities, trade-offs, risks, value opportunities, and executive decisions while ensuring AI initiatives are grounded in real investment workflows and scalable delivery practices. The role will help embed a product-oriented operating model for AI in Investments, ensuring that AI opportunities are managed across the lifecycle from problem definition and prioritization through delivery, adoption, measurement, and continuous improvement. This is a senior matrix leadership role. The role may have a small direct team over time, but will primarily deliver impact by mobilizing cross-functional capacity across Investments, Technology, Data, Architecture, Risk, Governance, and Operations. Organizational context: This role sits within the Investments organization and reports to the Head of Strategy & Operations, Investments. Working closely with the Chief Investment Officer, CIOs, asset class leaders, portfolio managers, research leaders, and trading leaders, the role serves as a key bridge between investment priorities and the capabilities required to enable AI-driven transformation across the investment platform. Over time, the role is expected to operate across the broader Ways of Working model, partnering across capability groups and acting at a portfolio level to align business priorities, product ownership, delivery capacity, governance, and adoption. You will play a leading role in defining how AI is embedded across the investment platform, helping shape the future operating model for AI-enabled investing. As the Head of AI Capability and Adoption, Investments, you will: Define the Investments’ AI strategy and roadmap Set the vision, priorities, and roadmap for AI across the investment lifecycle. Focus AI opportunities on investment decision quality, workflow efficiency, risk awareness, scalability and client outcomes. Translate investment workflow needs into AI opportunities Work with investment teams to identify workflow challenges and identify opportunities for AI-enabled improvements Ensure use cases solve real investment problems rather than technology-led experiments.