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# Wealth Management - Data Strategy & Architecture,...

- **Company:** JPMorgan Chase & Co.
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Salary:** $175,750.0 - $260,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Architecture, Data Transformation, Data Strategy, Data Layers, Core Data, Data Management
- **Published:** June 11, 2026
- **Apply:** https://www.juju.com/job/00000000g7gkar

## About the Role

+ 8 years of proven ability to create data strategy, design data architecture, and/or drive data transformation through change initiatives in complex organizations

 + Demonstrated ability to partner or consult with business product managers, process owners, and consumption stakeholders across front office, analytics, risk, regulatory, and controls

 + Knowledge of the financial services client lifecycle (CRM, Party Master, Account Master, KYC, Onboarding, Relationship Maintenance)

 + Track record working with technology teams to deliver data mesh capabilities, data products, semantic layers, and/or analytics

 + People leadership capability, including direct management experience

 + Expertise in domain modeling and scalable, lifecycle-aware data modeling, including conceptual and logical modeling, semantic consistency, and change-tolerant patterns

Preferred qualifications, capabilities, and skills

 + Hands-on innovation using AI to improve product delivery, operations, and/or controls (preferred)

 + Familiarity with party and account data management within financial services

 + Ability to translate business outcomes and requirements into clear, implementable architecture and semantic designs

 + Strong delivery orientation, including the ability to define roadmaps at the dataset and data product levels

## Description

+ Own and align CALM data strategy and architecture across KYC, onboarding, CRM, and related capabilities

 + Define and maintain domain structures and core data concepts with clear, implementable relationships

 + Guide data product delivery for data continuity and interoperability across GPB and adjacent verticals

 + Design reusable, lifecycle-aware datasets for operational, analytical, risk, and regulatory use cases

 + Develop cross-domain, consumer-focused data products for analytics and agentic AI

 + Establish scalable modeling patterns to improve agility and reduce rework

 + Enable Strategic Data Provisioning Services and ensure data decisions are driven by prioritized use cases

 + Translate consumer needs into dataset definitions and semantic objects for operational and analytical use

 + Partner with technology to deliver analytic and cross-domain data products through data mesh-aligned patterns

 + Collaborate on semantic layer design for consistent business definitions and metrics

 + Manage and develop a team of data architects, setting priorities and ensuring timely delivery of models and artifacts


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