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JPMorgan Data AI Product Manager United Kingdom, England, London 229366218
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As a Product Manager at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages.
Job responsibilities:
- Develop and communicate a clear product vision and strategy for data and AI initiatives ICB. Align product goals with business objectives and market needs.
- Work closely with internal stakeholders, including business leaders, data scientists, engineers, and designers, to gather requirements, define product features, and ensure successful product delivery.
- Oversee the integration and release of data analytics and AI technologies into ICB products and services. Ensure that solutions are scalable, secure, and compliant with regulatory requirements.
- Define and track key performance indicators (KPIs) to measure the success of data and AI products. Use data-driven insights to make informed decisions and drive continuous improvement.
Required qualifications, capabilities and skills
- 6+ years of experience in product management with proven ability to lead and develop high performing product teams
- Excellent leadership and collaboration skills, with the ability to positively influence and inspire technology teams and stakeholders
- Strong track record of owning and developing a product domain strategy and roadmap. Able to balance short-term goals and long-term vision in highly complex environments
- Expertise on the AI and data product lifecycle, spanning from data discovery, data processing, model development, model deployment, and model monitoring
- Expertise in Cloud computing and architecture (e.g AWS)
- Hands-on experience building or using Data and AI (e.g LLM) solutions.
- Experience in any of Supervised Fine-Tuning (SFT), and Reinforcement learning with human feedback (RLHF), RAG, Search, and Agents.
- Familiarity with LLM frameworks such as LangChain, OpenLLM, and Llama Index
- Knowledge of operationalizing AI products responsibly through MLOps pipeline
Preferred qualifications, capabilities, and skills
- Experience in Financial Services or other highly regulated industries
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