PXT VP Data Owner - Modeling Lead

1) Data Modeling & Structural Integrity

• Audit and govern relationships between data products to ensure entities, attributes, and models are well-structured and consistently defined across domains.
• Map cross-product dependencies and identify architecture gaps, redundancies, and misalignments.
• Ensure semantic consistency so shared concepts (e.g., customer, account, transaction) have consistent meaning, definitions, and lineage across domains.
• Partner with data engineers and data modelers to enforce standards for data quality, cleanliness, normalization, and maintainability.

2) Domain Coverage & Governance

• Maintain a comprehensive view of all active data domains, ensuring no domain is orphaned or underrepresented in the product taxonomy.
• Drive domain completeness reviews, identifying missing data products and surfacing gaps to leadership and domain owners.
• Establish and maintain data product classifications (e.g., authoritative/golden vs. derived, curated vs. raw, operational vs. analytical).

3) Stakeholder Partnership & Data Sourcing Strategy

• Partner with business stakeholders, data owners, and domain leads to ensure data lands in the right schemas for the right purposes.
• Develop and maintain data sourcing strategies: identify authoritative sources, resolve source conflicts, and plan for future acquisition/coverage.
• Facilitate data discovery sessions and working groups to validate product scope, align definitions, and close sourcing gaps.
• Translate complex technical concepts into clear business language and drive decisions to resolution.

4) Use Case Development & Business Alignment

• Apply a user-first approach to develop use cases tied to concrete business problems, translating stakeholder needs into actionable data product requirements.
• Conduct discovery interviews with business consumers to surface unmet needs and validate whether existing products are sufficient.
• Build and maintain a use-case repository aligned to strategic priorities to support roadmap planning and prioritization.
• Collaborate with analytics and product teams to validate that delivered data products drive measurable business outcomes.

Qualifications

• 5-8 years in data strategy, data architecture, data governance, or data product management within a complex enterprise environment.
• Demonstrated ability to read, interpret, and critique conceptual and logical data models; strong familiarity with ER modeling and metadata frameworks.
• Strong understanding of data governance principles: domains, ownership, stewardship, master/reference data, lineage, and controls.
• Proven track record translating business requirements, data product specifications.
• Experience working across multiple lines of business and domains in a matrixed environment.
• Familiarity with data cataloging/modeling and developer tools (e.g., Unity, AWS, Erwin, Databricks); SQL proficiency is a plus.

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

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.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Client-provided location(s): Jersey City, NJ

Job ID: JPMorgan-210784136

Employment Type: FULL_TIME

Posted: 2026-08-25T23:08:04