Bulge Bracket Investment Banks
Technical Product Manager, Data Management
at J.P. Morgan
ExperiencedNo visa sponsorship
Posted 15 days ago
No clicks
Senior product manager responsible for leading the end-to-end lifecycle for enterprise data modeling tooling and data management products. You will define product strategy, manage backlogs, drive discovery and release management, and track key success metrics to ensure scalability, resiliency, and reliability. The role requires close collaboration with cross-functional teams, stakeholder communication, and adherence to data modeling and governance standards. Strong technical background with experience on AWS, Big Data, Snowflake, SQL, and familiarity with knowledge graph and metadata technologies is expected.
- Compensation
- Not specified
- City
- New York City
- Country
- United States
Currency: Not specified
Full Job Description
Location: New York, NY, United States
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 Data Management, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. You will play a crucial role in developing and implementing our enterprise data modeling tooling capabilities. 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
- Develops a product strategy and product vision that delivers value to customers
- Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
- Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
- Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
- Leads end-to-end product delivery processes including intake, dependency management, release management, product operationalization, delivery feasibility decision-making, and product performance reporting, while escalating opportunities to improve efficiencies and functional coordination
- Carries out in-depth quantitative and qualitative analysis to support business cases for change and leadership decision making
- Leads the completion of change management activities across functional partners and ensures adherence to the firm’s risk, controls, compliance, and regulatory requirements
- Communicates proposed solutions and insights effectively to stakeholders
- Promotes adherence to industry standards for data ontology (e.g., RDF, OWL) and semantic modeling
- Stays informed on industry trends and emerging technologies in data modeling, knowledge graph technologies, metadata management, and data architecture
Required qualifications, capabilities, and skills
- 5+ years of experience or equivalent expertise in product management or a relevant domain area
- 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
- Demonstrated ability to execute operational management and change readiness activities
- Strong understanding of delivery and a proven track record of implementing continuous improvement processes
- Strong influencing and partnership/collaboration skills to drive cross-functional teams to build better solutions and to execute product go-live plans
- Experience in product or platform-wide release management, in addition to deployment processes and strategies; Must be able to build solutions from the ground up
- Strong technical background, with experience working on AWS, Big Data, Snowflake and SQL; experience with JIRA, Agile methodologies
- Foundational understanding of data modeling concepts (conceptual, logical, and physical modeling)
Preferred qualifications, capabilities, and skills
- Demonstrated prior experience working in a highly matrixed, complex organization
- Practical experience in modern data processing technologies, e.g., Kafka streaming, DBT, Spark, Airflow, etc.
- Experience in metadata management, data cataloging, and data governance frameworks
- Knowledge of data modeling patterns for analytical and operational use cases
