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Data Architect Lead - Vice President - Asset & Wealth Management

JP Morgan Chase

Salary not specified
Sep 23, 2025
Plano, TX, USA
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JPMorgan Chase is looking to create top-notch architecture solutions for diverse software applications utilizing modern cloud-based technologies, specifically in Asset & Wealth Management (AWM) and Global Client Onboarding.

Requirements

  • AWS Cloud experience in building solutions.
  • Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
  • Minimum of 5 years of experience in Architecture, Data management, or related roles within the financial services industry.
  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

Responsibilities

  • Develop and maintain the data architecture framework, standards, and principles for Asset & Wealth Management (AWM), ensuring scalability, performance, and security.
  • Collaborate with business leaders to define and execute the data strategy, aligning with organizational goals and regulatory requirements.
  • Establish and enforce data governance policies and procedures to ensure data quality, consistency, and compliance.
  • Design and implement data integration solutions to consolidate data from various sources, ensuring seamless data flow across systems.
  • Evaluate and recommend data management technologies and tools that enhance data capabilities and support business needs.
  • Work closely with IT, business units, and external partners to understand data requirements and deliver effective solutions.
  • Stay abreast of industry trends and emerging technologies, incorporating best practices into the data architecture.

Other

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
  • Minimum of 5 years of experience in Architecture, Data management, or related roles within the financial services industry.
  • Excellent verbal and written communication skills, with the ability to convey complex data concepts to non-technical stakeholders.
  • Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.