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.
- 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.
Required qualifications, capabilities, and skills
- 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.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Skills Required
- 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
- Experience delivering enterprise-scale technology or data platform products
- Experience with large-scale data processing, data integration, analytics, or data platform solutions
- Familiarity with 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 making
- Familiarity with 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, or related AI technologies
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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