
at J.P. Morgan
Bulge Bracket Investment BanksPosted 8 days ago
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**Product Manager - MLIO Knowledge Management (VP)** in Mumbai. Define AI/ML product roadmap, delivering knowledge via APIs/services. Lead cross-functional squads, drive data/analytics solutions, and collaborate with stakeholders. Prioritize delivery, support, and improvement. Requires 12+ years' product management, 5+ in knowledge management/AI. Agile/scrum experience, strategic thinking, and strong communication skills essential. BS/BTech degree with AI/ML tech and cloud expertise.
- Compensation
- Not specified INR
- City
- Mumbai
- Country
- India
Currency: INR
Full Job Description
Location: Mumbai, Maharashtra, India
Job Responsibilities:
Lead / groom a team of analyst who will work and help achieve the OKRs of the Area Product through coordinating with different stakeholders to identify the opportunities for Data Science/Analytics which can drive relevant insights for Business.
Provide a technical, consulting and domain leadership to a team of Business Analysts, Data Modelling, Data Engineers and Data Scientists with an aim of providing analytical solution.
Lead the team on requirement gathering, data understanding, defining scope, building, and implementing solution.
Leverage different Data Science (Machine Learning, Deep Learning and NLP) & Azures 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
Responsible for a product area in Machine Learning / Artificial Intelligence to deliver knowledge content via APIs and services suitable to channel (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 to scale
Required qualifications, skills, and capabilities
- 12+ 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
- Any prior experience of solutioning or exposure to building knowledge management platform using GenAI, RAG, Agentic Framework, AI Agents, Pre Compiled Knowledge, etc.
- 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
SIMILAR OPPORTUNITIES
Product Manager - MLIO Knowledge Management
Compensation
Not specified INR
City: Mumbai
Country: India

**Product Manager - MLIO Knowledge Management (VP)** in Mumbai. Define AI/ML product roadmap, delivering knowledge via APIs/services. Lead cross-functional squads, drive data/analytics solutions, and collaborate with stakeholders. Prioritize delivery, support, and improvement. Requires 12+ years' product management, 5+ in knowledge management/AI. Agile/scrum experience, strategic thinking, and strong communication skills essential. BS/BTech degree with AI/ML tech and cloud expertise.
Full Job Description
Location: Mumbai, Maharashtra, India
Job Responsibilities:
Lead / groom a team of analyst who will work and help achieve the OKRs of the Area Product through coordinating with different stakeholders to identify the opportunities for Data Science/Analytics which can drive relevant insights for Business.
Provide a technical, consulting and domain leadership to a team of Business Analysts, Data Modelling, Data Engineers and Data Scientists with an aim of providing analytical solution.
Lead the team on requirement gathering, data understanding, defining scope, building, and implementing solution.
Leverage different Data Science (Machine Learning, Deep Learning and NLP) & Azures 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
Responsible for a product area in Machine Learning / Artificial Intelligence to deliver knowledge content via APIs and services suitable to channel (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 to scale
Required qualifications, skills, and capabilities
- 12+ 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
- Any prior experience of solutioning or exposure to building knowledge management platform using GenAI, RAG, Agentic Framework, AI Agents, Pre Compiled Knowledge, etc.
- 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




