JPMorgan AI ML Product Manager - Commercial & Investment Bank 

United Kingdom, England, London 

262955683

Job responsibilities

• Drive the end-to-end AI & software product development process, from ideation to launch.
• Define and prioritize AI product requirements, user stories, and acceptance criteria based on customer and business needs, data, and feedback.
• Conduct user research, market analysis, and competitive benchmarking to validate hypotheses and inform product decisions.
• Measure and evaluate AI services performance, user behaviour, and customer satisfaction using qualitative and quantitative methods.
• Develop and maintain a AI/ML platform roadmap to guide the organization's AI/ML initiatives and ensure alignment with business objectives.
• Develop and execute comprehensive project plans, incorporating technical requirements, resource estimates, and timelines to ensure smooth delivery of technology solutions
• Act as Scrum Master / Product Manager utilising scrum, kanban & SAFe to deliver technical releases with Data Scientists, ML Engineers, Cloud Engineers & DXD.
• Identify and mitigate risks, proactively addressing potential roadblocks and implementing contingency plans to maintain project momentum

Required qualifications, capabilities and skills

• Significant product & program management experience in the AI & software industry
• Self starter, ability to drive change in challenging and complex environments whilst delivering continuous results.
• Experience in organizing, researching and analysing client needs. You bridge the technical and business worlds, ensuring we are building the right products with a combination of vision, market/user/competitor research and usage metrics
• Experience in stakeholder management, with the ability to establish productive working relationships and influence decision-making across cross-functional teams and clients
• Experience in AI technical program management, leading complex technology projects and programs in a large organization
• Experience running agile within AI team & utilizing backlog refinement, sprint planning, stand ups, retrospectives & sprint reviews.
• You have strong leadership skills and the ability to independently own products or a portfolio of products end-to-end. You have a strong track record of product deliveries
• Knowledge of the ML workflow, spanning from annotation, model training, model serving, scoring, pre/post processing, productionization and feedback capture

Preferred qualifications, capabilities and skills

• Knowledge of Cloud (AWS) computing and architecture, data management technologies, and ML platform tools