Strategic Data Owner Lead — Governance & AI

Fairygodboss; Plano (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Data Owner Lead within the Global Technology CDAO to drive data governance, ownership, and operating models across technology, risk, and compliance.

The role focuses on maturity assessments, roadmaps, and performance reporting to enable trusted, well-managed data for analytics and AI. The position requires strong stakeholder influence, executive communication, and experience with data quality, metadata, and risk management.

Qualifications

• Bachelor's degree or equivalent in a related field.
• Experience in data governance, data management, risk management, or related disciplines.
• Strong understanding of data governance, operating models, data risk management, data quality, and metadata management.

Responsibilities

• Serve as the primary advisor for an aligned Technology Sub-LOB and senior leadership.
• Support data governance, risk management, compliance, and data management through frameworks, tooling, and reporting.
• Lead data management maturity assessments and develop roadmaps to advance capabilities.
• Establish roles, responsibilities, accountability, and engagement models across data owners and partners.
• Deliver metrics, reporting, and insights on progress, risks, and opportunities.
• Identify opportunities to leverage AI and automation to improve governance and data management.
• Contribute to evolving GT CDAO tools, processes, and services.

Skills

Strategic influence

Executive communication

Change management

Analytical thinking

Cross-functional collaboration

Presentation skills

Education

Bachelor's degree or equivalent

Tools

Excel

Visio

Alteryx

Power BI

workflow platforms

Job description

JPMorgan Chase & Co. is seeking a Data Owner Lead within the Global Technology CDAO to drive data governance, ownership, and operating models across technology, risk, and compliance.

The role focuses on maturity assessments, roadmaps, and performance reporting to enable trusted, well-managed data for analytics and AI. The position requires strong stakeholder influence, executive communication, and experience with data quality, metadata, and risk management.