Vice President - Product Manager - Machine Learning Data Movement & Quality

Role Overview: Join JPMorgan Chase as they transform customer experiences and drive innovation across all channels. Be part of a team redefining how value is delivered to internal users through cutting-edge AI and knowledge management solutions. Help shape the future of banking by building products that empower employees and enhance customer engagement. As a Product Manager within the Machine Learning & intelligent ops team, you will define and execute the product roadmap for AI-driven solutions. Collaborate with cross-functional teams to deliver scalable knowledge content and services tailored to various user personas and channels. Play a pivotal role in driving transformation, ensuring alignment with business priorities, and delivering innovative offerings. Key Responsibilities: - Lead and/or groom a team of analysts to achieve the OKRs of the Area Product through coordination with stakeholders to identify opportunities for Data Science/Analytics providing relevant insights for Business. - Provide technical, consulting, and domain leadership to a team of Business Analysts, Data Modelling, Data Engineers, and Data Scientists to provide analytical solutions. - Develop and have exposure to building a knowledge management platform using GenAI. - Lead the team on requirement gathering, data understanding, defining scope, building, and implementing solutions. - Leverage different Data Science (Machine Learning, Deep Learning, and NLP) & Azure's AI capabilities to build the solution and analytics strategy. - Work with Data Engineering, Data Modelling, Cloud Admin, and Power BI team to design an end-to-end solution. - Oversee the product area in Machine Learning / Artificial Intelligence to deliver knowledge content via APIs and services suitable for different channels (contact center, voice, digital, branches) personalized by persona (agent, specialist, banker, advisor, customer). - Execute the strategic knowledge management roadmap and continuously refine requirements to deliver collective knowledge services and capabilities at scale. Qualifications Required: - 10 years of product management experience, including defining user experience needs, writing user stories, creating product value propositions, developing features and benefits, and developing roadmaps. - 5 years of knowledge management, machine learning / artificial intelligence experience, or similar Operations experience. - Strong leadership skills and experience working in agile/scrum teams is a must. - Ability to synthesize large amounts of information to inform decisions, gain buy-in, and drive work forward. - Ability to thrive in a fast-paced, innovative, collaborative, and cross-functional environment. - Excellent strategic thinking, problem-solving for senior leaders and executives. - Excellent written and verbal communication skills: able to visualize and present facts, thoughts, and ideas in a clear, concise, and convincing manner to senior stakeholders. - Minimum BS / BTech or equivalent level of education required with additional qualification in AI & ML-based tech and Cloud capabilities like Azure and AWS. Role Overview: Join JPMorgan Chase as they transform customer experiences and drive innovation across all channels. Be part of a team redefining how value is delivered to internal users through cutting-edge AI and knowledge management solutions. Help shape the future of banking by building products that empower employees and enhance customer engagement. As a Product Manager within the Machine Learning & intelligent ops team, you will define and execute the product roadmap for AI-driven solutions. Collaborate with cross-functional teams to deliver scalable knowledge content and services tailored to various user personas and channels. Play a pivotal role in driving transformation, ensuring alignment with business priorities, and delivering innovative offerings. Key Responsibilities: - Lead and/or groom a team of analysts to achieve the OKRs of the Area Product through coordination with stakeholders to identify opportunities for Data Science/Analytics providing relevant insights for Business. - Provide technical, consulting, and domain leadership to a team of Business Analysts, Data Modelling, Data Engineers, and Data Scientists to provide analytical solutions. - Develop and have exposure to building a knowledge management platform using GenAI. - Lead the team on requirement gathering, data understanding, defining scope, building, and implementing solutions. - Leverage different Data Science (Machine Learning, Deep Learning, and NLP) & Azure's AI capabilities to build the solution and analytics strategy. - Work with Data Engineering, Data Modelling, Cloud Admin, and Power BI team to design an end-to-end solution. - Oversee the product area in Machine Learning / Artificial Intelligence to deliver knowledge content via APIs and services suitable for different channels (contact center, voice, digital, branches) personalized by persona (agent