Sr. Product Associate Data Fabric Product Team
@ JPMorganChase

Greater London, England, United Kingdom
$150,000
On Site
Full Time
Posted 22 days ago

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Job Details

Overview

JPMorganChase is seeking a Sr. Product Associate Data Fabric Product Team professional to drive the development and adoption of a decentralized data architecture. The role focuses on making internal data discoverable, trusted, and available at scale to support business growth and AI/ML initiatives.

Key Objectives

  • Define product vision for decentralized data architecture
  • Develop a self-serve infrastructure for data publication
  • Integrate federated governance for compliance and consistency

Responsibilities

  • Collaborate with domain teams to support data producers
  • Gather and analyze user feedback for product iteration
  • Work with governance teams to integrate compliance measures
  • Create training and support materials
  • Define and monitor product metrics for performance

Qualifications

Experience in managing data architecture programs and product ownership practices is required. Proven track record in delivering cross-functional projects with multiple stakeholders is essential.

About JPMorganChase

JPMorganChase is a global leader in financial services, known for strategic advice, products and commitment to diversity and inclusion. As part of the Asset & Wealth Management team, you will work with industry-leading professionals to drive excellence in financial services.

Key skills/competency

  • Data Architecture
  • Product Vision
  • Decentralized Systems
  • User Feedback
  • Federated Governance
  • Self-serve Infrastructure
  • Operational Efficiency
  • Collaboration
  • Compliance
  • Training Development

How to Get Hired at JPMorganChase

🎯 Tips for Getting Hired

  • Research JPMorganChase's culture: Study their mission, values and leadership news.
  • Customize your resume: Tailor experience with data products and governance.
  • Highlight technical skills: Emphasize data architecture, AI/ML and product management.
  • Prepare for interviews: Practice scenario and behavioral questions.

📝 Interview Preparation Advice

Technical Preparation

Review data architecture frameworks and case studies.
Study decentralized systems and AI/ML integrations.
Prepare examples of self-service infrastructure projects.
Brush up on compliance tools and product metrics.

Behavioral Questions

Describe handling feedback in product development.
Explain collaborating with cross-functional teams.
Discuss managing competing stakeholder interests.
Share a challenging decision-making experience.

Frequently Asked Questions