Data Product Management Senior Associate

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

Join a core team driving Finance data-driven transformation.

As a Data Product Management Senior Associate, you will help build and ship 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 making products production-ready through strong data quality, controls, documentation, and adoption practices that enable controllership outcomes, regulatory and management reporting, risk and controls, and advanced analytics and AI use cases.

The Firmwide Financial Control (FFC) team safeguards the integrity of the Firm's books and records and defines global target platform strategy, with the Transformation Team delivering structured data models and solutions that modernize FFC operations at scale.

Job 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.

Required Qualifications, Capabilities And Skills

• 5+ years (or equivalent) in data product management / product ownership, data management/governance, financial data delivery, analytics, or related roles in financial services or another regulated industry.
• Strong SQL proficiency, including working with large datasets and writing complex queries (joins, aggregations, window functions) to support data validation, reconciliation, and analysis; comfort using Excel and analytics tooling.
• Practical knowledge of data modeling concepts (relational and dimensional), ETL/ELT patterns, and the importance of metadata and lineage in building trustworthy, reusable data products.
• Familiarity with scripting for data analysis or automation (for example, Python or equivalent), with ability to apply it to validation, profiling, and repeatable checks, consistent with a Senior Associate role.
• Experience working in Agile delivery with a technical lens, including writing stories for data features, defining measurable acceptance criteria, collaborating closely with engineers, and supporting sprint demos/reviews with outcomes tied to quality and delivery.
• Working knowledge of modern delivery practices for data products, including version control, ticketing/Agile tools, and concept related to data pipelines and transformations.

Preferred Qualifications, Capabilities And Skills

• Exposure to Finance, Financial Control, Risk, or Treasury domains (for example, General Ledger, reference data, or finance/risk data warehouse environments).
• Working knowledge of modern cloud and lakehouse-style platforms and distributed processing concepts (for example, AWS, Databricks, Snowflake), including scalability, reliability, and cost-awareness fundamentals.
• Exposure to data governance and controls practices, including data quality rule frameworks, cataloging and metadata management, usage classification, access controls, and evidence capture for controls and reporting.
• Exposure to enabling data readiness for advanced analytics and AI use cases (for example, anomaly detection support), including producing feature-quality datasets and consistent, well-documented signals suitable for downstream consumption.
• Experience enabling self-service consumption of data products (for example, semantic layers, dashboards, self-service analytics, or APIs), partnering effectively with product, engineering, and design to improve usability and adoption.

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 offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Global Finance & Business Management works to strategically manage capital, drive growth and efficiencies, maintain financial reporting and proactively manage risk. By providing information, analysis and recommendations to improve results and drive decisions, teams ensure the company can navigate all types of market conditions while protecting our fortress balance sheet.