Finance Data Product Manager – APIs & Quality

JPMorganChase; Newark (DE); On-site; USD 120,000 - 150,000; Full time

Job summary

JPMorganChase is seeking a Data Product Management Senior Associate to help build trusted trading/banking book data products, partnering closely with engineering to deliver data pipelines, curated datasets, data models, and consumption-ready interfaces.

You will contribute to production readiness through data quality, controls, documentation, and adoption practices that enable controllership, regulatory reporting, risk, and advanced analytics use cases.

Qualifications

• 5+ years in data product management or related roles in financial services.
• Strong SQL and large dataset handling; Excel familiarity.
• Knowledge of relational and dimensional data modeling, ETL/ELT.
• Experience with Python or similar scripting.
• Agile delivery with data-focused stories and acceptance criteria.
• Knowledge of data pipelines, metadata, and lineage.

Responsibilities

• Drive end-to-end delivery of data product increments by translating user needs into well-defined scope, user stories, and acceptance criteria spanning data quality, timeliness, completeness, reconciliation, performance, and usability.
• Partner with data engineers and architects to shape logical and physical data models, source-to-target mappings, transformation rules, and clear documentation of metadata, lineage, and data definitions.
• Contribute to build execution by supporting sprint planning, backlog refinement, and day-to-day delivery coordination, ensuring dependencies, risks, and issues are actively managed through to release.
• Plan and execute testing activities for data products, including data validation, reconciliation checks, regression testing, and defect triage, partnering on root-cause analysis and remediation through to closure.
• Help establish production readiness by supporting monitoring and observability (data quality checks, freshness, pipeline health), and by enabling reliable consumption mechanisms (curated tables/views, extracts, or APIs as applicable) with appropriate security, privacy, and access controls.
• Drive release and adoption readiness by producing runbooks, release notes, and data dictionaries, supporting enablement for consumers, and maintaining feedback loops to prioritize lifecycle improvements.

Skills

Data product management

SQL proficiency

Python scripting

Agile delivery

Data modeling

Data governance

Tools

AWS

Databricks

Snowflake

APIs

Git

Job description

JPMorganChase is seeking a Data Product Management Senior Associate to help build trusted trading/banking book data products, partnering closely with engineering to deliver data pipelines, curated datasets, data models, and consumption-ready interfaces.

You will contribute to production readiness through data quality, controls, documentation, and adoption practices that enable controllership, regulatory reporting, risk, and advanced analytics use cases.