> Markdown version of [/jobs/ext/1021517-data-and-infrastructure-lead-trade-and-working-capital-vice-president](https://www.wearedevelopers.com/jobs/ext/1021517-data-and-infrastructure-lead-trade-and-working-capital-vice-president). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data and Infrastructure Lead - Trade and Working Capital - Vice President - **Company:** JPMorgan Chase & Co. - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Control, Data Dictionary, Data Governance, Data Infrastructure, Meta-Data Management, Software Requirements Analysis, Snowflake, Data Analytics, Databricks - **Published:** June 16, 2026 - **Apply:** https://www.dice.com/job-detail/7d805f62-97ee-44da-a342-94c785b80049 ## About the Role * Demonstrated leadership delivering data platform and analytics capabilities within complex, matrixed financial services organizations * Strong working knowledge of Snowflake and Databricks, including data modeling approaches, performance considerations, and operationalization patterns * Proven experience leading datalake migrations or major data platform transitions, with disciplined delivery management and stakeholder alignment * Deep understanding of data governance concepts, including metadata management, lineage, stewardship, and data quality frameworks * Expertise in dashboard/reporting design principles and BI delivery, including requirements definition, semantic consistency, and adoption management * Ability to partner effectively across technology, product, and business data owners, translating between technical constraints and business outcomes * Strong program management skills, including roadmap development, prioritization, risk management, and executive communication * Sound judgment on data controls and operational resilience expectations typical of regulated environments Preferred qualifications, capabilities, and skills * Experience supporting Trade and Working Capital, transaction banking, or adjacent corporate banking products and operating models * Prior ownership of enterprise metadata or data dictionary programs at scale * Experience enabling AI/ML use cases through curated datasets, feature-ready data products, and governed access patterns * Familiarity with modern data product operating models and domain-aligned data ownership * Background working across multiple geographies and time zones in a global delivery environment ## Description As the Data and Infrastructure Lead (VP) within T&WC, you will drive the data foundation for the Trade and Working Capital business, with direct accountability for the data dictionary, datalake migration, and dashboard reporting design across Snowflake, Databricks, and other BI tools. This role partners closely with the technology data team, product teams, and business data owners to deliver governed, high-quality data that enables scalable analytics and AI use cases, * Lead the design, build, and ongoing management of the Trade and Working Capital data dictionary, including standardized definitions, lineage, and ownership * Own the execution of the datalake migration plan, coordinating dependencies across engineering, architecture, and business stakeholders to deliver measurable adoption * Drive dashboard and reporting design standards across Snowflake, Databricks, and BI tools to ensure consistent, performant, and decision-grade insights * Establish and enforce data governance practices in partnership with data owners, including data quality controls, stewardship workflows, and issue remediation * Translate business priorities into a sequenced data uplift roadmap spanning infrastructure modernization, governance, and AI/advanced analytics enablement * Serve as the senior interface between Trade and Working Capital leadership and enterprise technology/data teams, managing alignment, trade-offs, and delivery commitments * Define and monitor KPIs for data platform health, data quality, and reporting outcomes, escalating risks and proposing corrective actions * Ensure solutions are designed with financial services control expectations in mind, including auditability, access controls, and appropriate data handling practices, J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. ## Related Videos - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) - [Your Code as a Crime Scene](https://www.wearedevelopers.com/videos/1342-your-code-as-a-crime-scene) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)