Data Owner Lead - VP

🏢 JP Morgan
📍 Mumbai, IndiaFull-timeOn-site
📅 Posted: 1mo ago🔄 Updated: 1mo ago
CV%
✨ AI Summary
As a Data Owner Lead - VP within Wholesale Credit Risk at JPMorgan Chase, you will be responsible for managing data quality, defining data contracts, managing data entitlements, and enabling data sharing within the wholesale credit risk domain. This role involves collaborating with credit risk stakeholders, subject matter experts, and technology partners to define requirements and drive execution, leveraging data, metrics, and customer feedback for continuous improvement. You will also manage the Data Quality forum, data models for data mesh publications, and utilize LLMs and AI for daily activities, contributing to the Data Governance vision and roadmap.
Required Skills
Soft Skills & Professional Competencies
CommunicationCollaborationNegotiationInitiativeCalm Under PressureLeadershipDecision Making
Other
Intellectual curiosityCredit Risk DataConsensus building
Engineering, Construction & Trades
Process Engineering
Nice to have:
Other
Agentic AI
Information Technology
SQLData ModelingDatabricksCloud NativeLarge Language ModelsGenerative AI
🎁 Benefits & Perks
health insurance, vacation days, bonuses
Requirements
Requires a Bachelor's Degree and 6+ years of experience in Credit Risk, Data Governance, or Product. Must possess strong communication, collaboration, and negotiation skills, with the ability to manage competing priorities, drive consensus, and use data to make decisions. Proficiency in process re-engineering is also required.
Description

As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgment to solve real-world challenges that impact our company, customers, and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo, and striving to be best-in-class.

As a Data Governance - Vice President within Wholesale Credit Risk, you will be responsible for managing Data quality, define data contracts, manage data entitlements, enable data sharing within wholesale credit risk. You will collaborate with credit risk stakeholders, subject matter experts, and technology partners to define clear requirements and drive execution. You will use data, metrics, and customer feedback to guide prioritization and continuous improvement.

 

Job Responsibilities

  • Manage Data quality forum partnering with Credit CDO, data producers and stakeholders.
  • Manage data models for data mesh publications.
  • Leverage LLMs and AI for day to day activities. 
  • Contribute towards Data Governance vision that delivers value to customers
  • Partner with solution architects and technologists to influence technical approaches to meet desired business outcomes
  • Participate in cross-functional teams to contribute to the Data Governance roadmap and prioritization of enhancements and new features
  • Build Senior management presentations and manage project plans.

     

Required  qualifications, capabilities and skills

 

  • Bachelor’s Degree in a relevant field
  • 6+ years of relevant work experience in Credit Risk, Data Governance, Product or a related capacity
  • Strong, clear, and concise written and verbal communication skills with the ability to prepare executive-level communications
  • Ability to manage competing priorities under tight deadlines
  • Proven ability to collaborate, influence, negotiate and build strong partnerships
  • Intellectual curiosity with a proven ability to learn quickly
  • High degree of initiative, self-direction, and ability to work well under pressure
  • Understanding of Credit Risk Data
  • Ability to lead, drive consensus, and deliver in a matrix organization with multiple stakeholders
  • Experience using data and metrics to drive decisions
  • Proficiency in process re-engineering or similar

 

Preferred Qualifications, capabilities and skills:

  • Experience with Agentic AI.
  • Knowledge of SQL
  • Data modeling skills
  • Experience with Databricks
  • Experience with Cloud Native technologies
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00