Product Manager
JPMorgan Chase · Posted Nov 4
Global banking, investment, credit card, mortgage, and asset management services
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About the role
JPMorgan Chase's Consumer and Community Banking team innovates new product offerings and leads the end-to-end product life cycle. This Product Manager role focuses on enterprise data platform capabilities that support business, analytics, AI, and machine learning use cases. The role involves defining product strategy and roadmap, partnering with engineering and data science teams, and driving adoption of modern data engineering and cloud-native platform capabilities.
What you will do
- 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 & Define measurable business outcomes and monitor product performance against established objectives.
- Communicate product vision, roadmap progress, and strategic recommendations to senior leadership & Support planning, prioritization, and execution of platform modernization initiatives.
Skills used in this role
What the employer is looking for
- 5+ years of experience or equivalent expertise in in Product Management, Technology, Data Platforms, Software Engineering, or a related field.
- Strong understanding of cloud computing concepts and modern platform architectures & 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 & 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 makin & 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 & Knowledge of Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), or related AI technologies.
Benefits and support
- Compensation and benefits are detailed in the job posting
About JPMorgan Chase
JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.
- Industry
- Banking
- Company size
- 320000+ employees
- Founded
- 1799
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Operating Officer
Global Chief Information Officer
CEO, Asset & Wealth Management
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