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 & 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.
ABOUT USJPMorganChase, 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.
ABOUT THE TEAMOur Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
