Vice President, Data Modernization - Data Readiness & Metadata Standards

Jersey City, NJ, United States

• Job Identification

• Job Category Analytics Solutions & Delivery

• Business Unit Consumer & Community Banking

• Posting Date 10/13/2026, 02:35 PM

• Locations 575 Washington Blvd, Jersey City, NJ, 07310, US1111 Polaris Pkwy, Columbus, OH, 43240, US8181 Communications Pkwy Ste C, Plano, TX, 75024, US880 Powder Mill Rd, Wilmington, DE, 19803, US

• Job Schedule Full time

• Base Pay/Salary Jersey City,NJ $-$;

Data is at the heart of how JPMorgan

Chase drives innovation and competitive advantage. Join a team that turns complex, high-volume data into trusted assets that leaders can confidently use to make decisions and build new customer experiences. You will influence how data is defined, described, and governed-so it is easier to discover, interpret, and apply across analytics and artificial intelligence. This role offers meaningful visibility, cross-functional partnership, and the opportunity to shape firmwide standards through tangible delivery and rapid prototyping.

Job summary

As a Vice President in the Data Modernization program within Consumer & Community Banking Data & Analytics, you will lead work that makes structured and unstructured data more discoverable, interpretable, and dependable. You will define practical metadata and data domain patterns-business, technical, and operational-that help teams find, understand, and trust data  will partner with data owners and engineers to identify quality and definition gaps, prioritize fixes, and convert one-off improvements into scalable standards.

You will translate technical progress into clear narratives and measurable outcomes that support roadmap decisions and executive updates.

You will operate as a hands-on standards leader: comfortable in detailed data conversations, credible with engineers, and effective with senior stakeholders. You will balance governance and speed-setting clear expectations while enabling teams to move faster through reusable patterns, scorecards, and prototypes. You will help create the conditions for high-quality analytics, conversational querying, and generative AI experiences by improving the "readiness" of data upstream.

Job responsibilities

• Shape and drive adoption of the enterprise data readiness framework across Consumer & Community Banking business units.

• Define and champion standards for business, technical, and operational metadata so data is well-defined, discoverable, and trustworthy at scale.

• Establish semantic and context standards that improve the consistency, interpretability, and reuse of data across analytics and artificial intelligence systems.

• Lead profiling of priority domains to surface definitional, lineage, and data-quality gaps, and partner with data owners to close them.

• Convert one-off fixes into repeatable, scalable enrichment patterns and mentor others to apply them.

• Advise data leaders and engineers on the quality and usability improvements that create the most value across large datasets.

• Build and showcase prototypes that demonstrate improved data readiness for analytics and AI-assisted use cases, including conversational and agentic experiences.

• Own readiness scorecards and key performance indicators, translating progress into inputs for maturity assessments, roadmap decisions, and executive updates.

Required qualifications, capabilities, and skills

• Bachelor's degree in a quantitative, scientific, or technical field (for example, Mathematics, Statistics, Computer Science, Engineering, or Economics), or equivalent practical experience.

• Seven years of relevant experience in data science, data management, data governance, data quality, or analytics engineering, including setting…