JP Morgan Chase - Product Manager - Enterprise Data Platform

About the Role:

You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients.

As a Product Manager in Consumer and community banking, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.

Job responsibilities:

- Define and execute product strategy, roadmap, and priorities for enterprise data platform capabilities.

- Partner with engineering teams to deliver scalable, reliable, and secure data solutions that support business, analytics, and AI use cases.

- Gather customer and stakeholder feedback to identify platform enhancements, emerging needs, and innovation opportunities.

- Create and manage product backlogs, requirements, and success metrics.

- Drive adoption of modern data engineering practices and cloud-native platform capabilities.

- Collaborate with data scientists, architects, engineers, and business stakeholders to ensure data platforms support AI and machine learning workloads.

- Evaluate emerging technologies and industry trends to inform product strategy and investment decisions and define measurable business outcomes and monitor product performance against established objectives.

- Communicate product vision, roadmap progress, and strategic recommendations to senior leadership and support planning, prioritization, and execution of platform modernization initiatives.

Required qualifications, capabilities, and skills:

- 5+ years of experience or equivalent expertise in Product Management, Technology, Data Platforms, Software Engineering, or a related field.

- Strong understanding of cloud computing concepts and modern platform architectures and proven experience delivering enterprise-scale technology or data platform products.

- Experience working with large-scale data processing, data integration, analytics, or data platform solutions.

- Familiarity with modern data engineering technologies such as Spark, PySpark, Databricks, or similar distributed processing frameworks.

- Experience with enterprise data platforms, data lakes, metadata management, or data governance solutions.

- Understanding of machine learning concepts and AI-enabled business capabilities and experience supporting products, platforms, or solutions used for analytics, machine learning, or generative AI workloads.

- Ability to define product requirements that enable AI-ready data assets, model development, or data-driven decision making and familiarity with modern AI ecosystem concepts such as MLOps, feature engineering, model lifecycle management, or AI governance.

- Experience partnering with engineering and data science teams to deliver AI-enabled capabilities and knowledge of Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), or related AI technologies.

Total Experience: 5 - 10 years

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