Product Manager, Data Publish and Processing
JPMorganChase
Full-time
On-site
Jersey City, New Jersey, United States
$122,550 - $201,000 USD yearly
Description
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.
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