Product Manager - Data Publishing and Processing

Job Description
You are passionate about transforming how data is shared, enabling seamless, secure, and intelligent access to trusted data across a diverse ecosystem of platforms and consumers. Join our Data Publishing and Processing (DPP) team and make a meaningful impact by delivering innovative data sharing solutions that empower publishers, accelerate business outcomes, and position our firm at the forefront of data-driven innovation.
As a Product Manager in Data Sharing within DPP, you will play a pivotal role in shaping and executing the strategy for a unified data sharing framework. You will champion the voice of the customer, guiding publishers to the optimal sharing method for each use case-whether that means zero-copy access, external tables, governed APIs, or high-performance replication. Leveraging your expertise, you will lead the end-to-end product lifecycle, from ideation to launch and continuous improvement, ensuring our solutions balance performance, cost, security, and compliance. You will collaborate with engineering, governance, and business partners to deliver a seamless, one-stop data sharing experience that integrates entitlements, data contracts, and cost optimization, and supports both internal and external data consumers.
Job responsibilities

• Develops a product strategy and vision for data sharing that delivers value to both data publishers and consumers, supporting a wide range of consumption platforms (e.g., Snowflake, Databricks, APIs, external partners)
• Manages discovery efforts and market research to uncover customer needs and integrate them into the data sharing product roadmap
• Owns, maintains, and develops a product backlog that enables development of a unified, intelligent data sharing framework, supporting features such as platform-specific sharing patterns, entitlements, data contracts, and cost optimization
• Builds the framework and tracks the product's key success metrics such as time-to-data, cost efficiency, compliance, and user satisfaction

Required qualifications, capabilities, and skills

• 10+ years of experience or equivalent expertise in product management or a relevant domain area (data platforms, data governance, analytics, or cloud)
• Advanced knowledge of the product development life cycle, design, and data analytics
• Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
• AWS solutioning experience across big data domain services (e.g., EKS, Glue, S3, EventBridge, Lamda, Flink)
• Experience with data lake architectures and modern data sharing patterns (e.g., Iceberg, Snowflake, zero-copy sharing)
• Familiarity with data pipeline orchestration and event-driven architecture

Preferred qualifications, capabilities, and skills

• Demonstrated prior experience working in a highly matrixed, complex organization
• Experience with data sharing, data governance, or data platform products in the financial services industry
• Familiarity with modern data architectures, data contracts, entitlements, and cost optimization in cloud or hybrid environments
• Hands on experience across common consumption platforms (e.g., Snowflake, Databricks)
• Knowledge of data cataloging, metadata management, and entitlement services
• Familiarity with API-first product design and integration patterns
• Understanding of security, privacy, and compliance requirements for financial enterprise data sharing

About Us
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.
About the Team
Our 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.