Data Owner Lead - VP

Chase- Candidate Experience page; Mumbai; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

JPMorgan Chase in Mumbai, India seeks a Vice President of Data Governance within Wholesale Credit Risk to lead data quality, define data contracts, and enable data sharing across the risk function. You will work with credit risk stakeholders and technology partners to translate requirements into measurable outcomes.

The role emphasizes use of data, metrics and AI to drive prioritization and improvements, with opportunities to influence data architecture and governance across the enterprise.

Qualifications

• Bachelor's degree in a relevant field with strong data governance focus.
• 6+ years of experience in Credit Risk, Data Governance or related roles.
• Strong written and verbal communication for executive-level summaries.
• Ability to manage priorities under tight deadlines and influence across a matrix organization.
• Experience using data and metrics to drive decisions; knowledge of data contracts and entitlements.

Responsibilities

• Manage data quality forums with Credit CDO, data producers, and stakeholders.
• Define data models for data mesh publications and data contracts.
• Leverage AI/LLMs for day-to-day governance activities and insights.
• Collaborate with solution architects to influence technical approaches.
• Lead cross-functional teams to shape the Data Governance roadmap.
• Create senior management presentations and manage project plans.

Skills

Data governance

Credit risk

Data quality

Stakeholder management

Executive communication

AI/LLMs

Education

Bachelor's degree

Tools

SQL

Databricks

Cloud technologies

Data modeling

Job 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 customersPartner with solution architects and technologists to influence technical approaches to meet desired business outcomesParticipate in cross-functional teams to contribute to the Data Governance roadmap and priorisation of enhancements and new featuresBuild Senior management presentations and manage project plans.

Required qualifications, capabilities and skills

Bachelors Degree in a relevant field6+ years of relevant work experience in Credit Risk, Data Governance, Product or a related capacityStrong, clear, and concise written and verbal communication skills with the ability to prepare executive-level communicationsAbility to manage competing priorities under tight deadlinesProven ability to collaborate, influence negotiate and build strong partnershipsIntellectual curiosity with a proven ability to learn quicklyHigh degree of initiative, self-direction, and ability to work well under pressureUnderstanding of Credit Risk DataAbility to lead, drive consensus, and deliver in a matrix organization with multiple stakeholdersExperience using data and metrics to drive decisionsProficiency in process re-engineering or similar

Preferred Qualifications, capabilities and skills:

Experience with Agentic AI.Knowledge of SQLData modeling skillsExperience with DatabricksExperience with Cloud Native technologies .