Data Governance Lead

JPMorganChase•Chicago, IL
•Onsite

About The Position

The Data Governance Lead in Client Onboarding & Servicing leads the ongoing execution of a comprehensive data governance framework that supports data integrity, quality, and compliance across the organization. The role translates governance standards into repeatable operational processes, oversees day-to-day governance activities, and ensures issues are identified, escalated, and resolved. It helps shape data management practices while ensuring governance frameworks work effectively in practice. The role uses expertise in regulatory compliance, data quality, lineage, metadata, and data security to mitigate risk and strengthen controls. It also fosters collaboration across Product, Technology, Operations, Controls, and other business partners to drive adoption of governance standards and ensure data assets are responsibly managed and aligned with business goals.

Requirements

  • 7+ years of experience or equivalent expertise designing and implementing data governance frameworks and policies.
  • Advanced proficiency in regulatory compliance, focused on data privacy and financial regulations.
  • Expertise managing data lineage and metadata to ensure comprehensive data traceability and discoverability.
  • Advanced data quality management techniques to maintain accuracy, completeness, and reliability across systems.
  • Experience leading risk management initiatives for AI models, including addressing adversarial attacks and model inversion.

Responsibilities

  • Lead implementation and ongoing operational execution of data governance frameworks, policies, standards, and controls.
  • Maintain repeatable governance processes, operating routines, ownership models, and escalation paths.
  • Monitor adherence to governance standards and coordinate with data owners and stakeholders to address gaps, risks, and control issues.
  • Lead data quality management, including issue identification, prioritization, root-cause analysis, remediation tracking, and reporting.
  • Develop and maintain data lineage, metadata, and ownership practices to improve traceability, usability, and accountability.
  • Oversee resolution of complex data issues, identifying root causes and implementing 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 on performance, risks, and remediation progress.
  • Manage AI-specific data and risk assessments, ensuring appropriate governance and controls address potential threats and vulnerabilities.
  • Drive change-management and adoption efforts to strengthen accountability and continuous improvement in data governance.
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