JPMorgan Product Manager 

India, Maharashtra, Mumbai 

218081385

Job responsibilities

• Own and prioritize the product backlog and roadmap, balancing AI capabilities with core features to meet strategic goals and regulatory constraints.
• Assist discovery and research to identify AI use cases across ML, NLP, information retrieval (e.g., RAG), optimization, predictive analytics, and workflow automation—evaluating build/buy/partner options (agentic methods included when they add value).
• Establish success metrics and instrumentation, including adoption, accuracy/precision/recall, time‑to‑resolution, cost‑to‑serve, reliability/latency, and risk posture.
• Drive cross‑functional delivery with Engineering, Data Science/ML, UX, Operations, Compliance, Legal, and Risk to ship AI capabilities, classification, anomaly detection, recommendations, and decision support with human‑in‑the‑loop where appropriate.
• Champion Responsible AI, ensuring data governance, privacy, security, explain ability, fairness, evaluation rigor, monitoring, and model risk management across the model lifecycle.
• Translate customer pain points into AI powered solutions for example regulatory change intelligence, control monitoring, case triage/routing, knowledge retrieval, evidence synthesis, redaction/PII detection—and validate via pilots and A/B tests. Support and troubleshooting: partner with teams to resolve issues, prioritize fixes, and drive continuous improvement based on telemetry and customer feedback.
• Author epics, user stories, and acceptance criteria (including offline/online evaluation plans) and manage delivery using Agile practices and tools (Jira, Confluence).
• Plan change management for AI features (enablement, documentation, training, support readiness) and track business impact post‑launch.
• Manage platform and vendor ecosystem (LLM platforms, vector stores, orchestration frameworks, MLOps/monitoring, analytics) to optimize cost, performance, and SLAs.
• Coach, mentor and motivate project team members, influencing them to act and take accountability for their assigned work

Required qualifications, capabilities, and skills

• Leverage 8+ years of experience or equivalent expertise in product management or a relevant domain.
• Apply advanced knowledge of the product development lifecycle, design, and data analytics.
• Lead discovery, ideation, strategy, requirements, and value management in complex environments.
• Operate effectively in a highly matrixed, complex organization.
• Translate AI technologies, including machine learning, NLP, and generative AI, into business value.
• Utilize Agile processes and tools like Confluence, JIRA, and Git.
• Collaborate with Data Science/ML and Engineering teams; be familiar with AI platforms and tooling.
• Make data-driven decisions using experimentation, statistical thinking, and telemetry.
• Apply knowledge of Responsible AI, privacy, security, compliance, and model risk management.
• Communicate complex AI concepts to non-technical stakeholders and senior leaders effectively.
• Adapt and solve problems with strong organization and execution skills in dynamic environments.