Data Owner Lead, Vice President - Connected Commerce

Shape the future of data-driven decision-making at one of the world's most innovative financial institutions, where your expertise will directly influence how millions of customers experience trust, security, and seamless digital interactions.

At JPMorganChase, we invest in our people and technology to build solutions that matter and we want you to be part of that journey.

As a Vice President, Data Owner Lead within the Trust and Security team at JPMorganChase, you will be embedded in a highly collaborative data and analytics organization that partners across product, technology, design, and analytics to enable next-generation, data-driven solutions.

You will help shape data requirements, develop specifications for data delivery, and support reporting, analytics, and emerging artificial intelligence and machine learning use cases.

Your work will directly contribute to reducing data risk, improving data quality, and accelerating modernization efforts that protect and serve our customers.

Job responsibilities


* Implement strategic plans to deliver data solutions and data products that support business operations and strategic objectives.


* Use SQL and data tooling to perform data testing and validation (e.g., completeness, accuracy, timeliness, reconciliation, anomaly detection), investigating variances and documenting test results to ensure ongoing data accuracy and integrity across curated datasets and data products.


* Document requirements for data sourcing, content, and quality.

Define requirements for integrating multiple upstream sources (including mapping, transformation logic, and reconciliation) and for building curated datasets that support analytics and reporting use cases.


* Collaborate with partners to document and classify critical data with metadata.

Ensure metadata is actionable and supports discovery and reuse (business definitions, technical metadata, lineage, quality rules/thresholds, and product documentation).


* Provide subject matter expertise on data content and usage within the business and associated product areas.


* Develop relationships with data providers and consumers across multiple functions.

Engage broad-based consumer populations to understand usage patterns and improve usability of curated datasets and data products.


* Develop processes to identify and mitigate data risks throughout the data lifecycle, including data protection, privacy, retention, destruction, storage, use, and quality.

Ensure controls are operationalized within pipelines and data products (e.g., automated quality checks, monitoring/alerting, and auditable evidence).


* Support data analytics by governing data integration into analytics platforms, including designing fit-for-purpose curated datasets and feature-ready data products for advanced analytics/ML use cases.


* Communicate and resolve data issues, maintaining data integrity; Support data issue triage and root-cause analysis with business and...