Live opening · Posted 1 day ago

Data Governance Lead

JPMorgan Chase · Chicago, IL, United States
Oracle
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyJPMorgan Chase
LocationChicago, IL, United States
SourceOracle
ListedPosted 1 day ago

About the role

Description supplied by the original job listing.

Drive the execution of data governance across large-scale strategic initiatives. This role sits at the center of improving data quality, strengthening controls, and enabling teams to manage data effectively. Influence outcomes by ensuring data is governed with consistency, accountability, and clear operational ownership.
As a Data Governance Lead in Client Onboarding & Servicing, you will lead the ongoing execution of a comprehensive data governance framework that supports data integrity, quality, and compliance across the organization. You will translate governance standards into repeatable operational processes, oversee day-to-day governance activities, and ensure issues are identified, escalated, and resolved.
Your role is pivotal in shaping the strategic direction of data management practices while ensuring governance frameworks operate effectively in practice. You will leverage your expertise in regulatory compliance, data quality, lineage, metadata, and data security to mitigate risk and strengthen controls. By fostering collaboration across Product, Technology, Operations, Controls, and other business partners, you will drive adoption of governance standards and ensure data assets are responsibly managed and aligned with business goals.
Job responsibilities
Lead the implementation and ongoing operational execution of data governance frameworks, policies, standards, and controls.
Maintain repeatable governance processes, operating routines, ownership models, and escalation paths to support consistent execution.
Monitor adherence to governance standards and coordinate with data owners and stakeholders to address gaps, risks, and control issues.
Lead data quality management activities, including issue identification, prioritization, root-cause analysis, remediation tracking, and reporting.
Develop and maintain data lineage, metadata, and ownership practices to improve data traceability, usability, and accountability.
Oversee the resolution of complex data issues, using advanced techniques to identify root causes and implement sustainable solutions.
Partner across Product, Technology, Operations, Controls, and business teams to embed governance requirements into business processes and technology delivery.
Define and track governance metrics, data-quality indicators, and operational reporting to provide visibility into performance, risks, and remediation progress.
Manage AI-specific data and risk assessments, ensuring appropriate governance and controls are in place to address potential threats and vulnerabilities.
Drive change-management and adoption efforts that strengthen accountability and foster continuous improvement in data governance practices.
Required qualifications, capabilities, and skills
Possess 7+ years of experience or equivalent expertise in designing and implementing data governance frameworks and policies.
Demonstrate advanced proficiency in regulatory compliance, with a focus on data privacy and financial regulations.
Exhibit expertise in managing data lineage and metadata to ensure comprehensive data traceability and discoverability.
Apply advanced techniques in data quality management to maintain accuracy, completeness, and reliability across systems.
Lead risk management initiatives for AI models, addressing unique challenges such as adversarial attacks and model inversion.
Visa sponsorship is not available for this position
Work Schedule: Full-time in office, on a 40-hour per week schedule in Chicago, IL

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