Product Manager, Public Markets AI
Job Description Product Manager, Public Markets AI Who We’re Looking For We’re looking for a motivated and collaborative product manager to join our Public Markets AI team. This role will play a central part in driving the adoption and impact of AI across Public Markets, bridging business needs, technology, and user engagement. You’ll oversee AI product development from proof of concept through delivery, support user enablement, and ensure our tools deliver meaningful value to investment teams. You’ll work closely with Investment Technology and data teams to translate ideas into scalable, production-ready solutions, fostering innovation that complements human expertise. If you’re passionate about AI’s potential and skilled at aligning people, process, and product, this role offers the opportunity to shape the way our investment teams use next-generation technology. About Schroders We’re a global investment manager. We help institutions, intermediaries and individuals around the world invest money to meet their goals, fulfil their ambitions, and prepare for the future. We have around 6,000 people on six continents. And we’ve been around for over 200 years but keep adapting as society and technology changes. What doesn’t change is our commitment to helping our clients, and society, prosper. The base We moved into our new HQ in the City of London in 2018. We’re close to our clients, in the heart of the UK’s financial centre and we have everything we need to work flexibly. What You'll Do
- Act as product manager for our PoC and Production AI tools across Public Markets.
- Manage products through the full lifecycle, from proof of concept to delivery and rollout.
- Define and maintain product roadmaps aligned with user needs and strategic goals.
- Coordinate with Investment Technology and other partners to ensure successful implementation and integration.
- Facilitate alignment across teams to minimise duplication and maximise integration of tools.
- Support the effective use of AI tools such as Microsoft Copilot, Enterprise ChatGPT, and Genie across Public Markets.
- Drive AI adoption through training sessions, user engagement, and creation of supporting materials (use case collateral, “how-to” guides, and one-pagers).
- Oversee AI tool licensing and allocation, ensuring alignment with business needs and value delivery.
- Communicate progress and outcomes to senior stakeholders, producing concise updates and materials to support decision-making.
- Track product KPIs and usage metrics; recommend improvements to increase impact.
- Stay abreast of developments in the AI landscape, identifying opportunities for innovation and practical application within investment workflows.
- Scan the market for emerging AI tools, datasets, and technologies.
- Experience in a product, engagement, strategy, or analyst role within a data or technology focused environment.
- Proven track record managing projects and diverse stakeholder relationships.
- Understanding of the software development lifecycle and how to deliver products from proof of concept through production.
- Familiarity with enterprise AI tools (e.g., Microsoft Copilot, ChatGPT Enterprise, Genie) and data platforms (e.g., Snowflake, BI dashboards).
- Interest in AI and machine learning, with an appreciation of how these technologies are evolving — understanding is beneficial but not essential.
- Some programming skills in Python, R, and/or SQL, with experience using version control systems (beneficial but not essential).
- Analytical mindset; comfortable working with both qualitative and quantitative data.
- Comfortable analysing user needs and feedback to guide prioritisation and product improvement.
- Excellent communication and storytelling skills, able to engage both technical and non-technical audiences.
- Highly organised and proactive, capable of driving coordination and adoption across global teams.
- Strong problem-solving skills and a practical mindset for building scalable, user-centric solutions.
- Experience contributing to RFPs or articulating technology capabilities to clients or external partners.
- Experience in financial services or other data-rich organisations is advantageous.