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AIG

Data Quality IMR Analyst

AIG

Data Quality IMR Analyst driving data issue management and remediation in North America. Collaborating with business and technology teams to enhance data quality and corporate governance.

Posted 6/16/2026full-timeAtlanta • 🇺🇸 United StatesJuniorMid-LevelWebsite

Tech Stack

Tools & technologies
CloudInformaticaServiceNowSQL

About the role

Key responsibilities & impact
  • Drive the end-to-end data issue lifecycle for a specific region — from intake and triage through root cause analysis, remediation planning, execution oversight, and closure validation.
  • Serve as the primary regional point of contact for data issues raised by business, technology, operations, and control functions.
  • Log, classify, and prioritize issues in the enterprise IMR tooling, ensuring complete metadata, severity rating, and impact assessment.
  • Facilitate collaboration to improve understanding issues underlying cause and impact to the organization by connecting data owners, stewards, subject-matter experts and technology partners to identify upstream sources, control gaps, and contributing factors.
  • Track remediation milestones, dependencies, and target dates; proactively escalating slippage, blockers, or scope changes to leadership and governance forums.
  • Produce IMR dashboards, KPI/KRI reporting, and trend analysis for senior stakeholders, governance committees, and audit/regulatory reviews.

Requirements

What you’ll need
  • Bachelor’s degree in management information systems, Finance, Business, or a related discipline.
  • 2+ years of experience in data governance, data quality, data management, operational risk, or audit, with demonstrated involvement in issue management or remediation.
  • Working knowledge of data governance frameworks (e.g., DAMA-DMBOK), data quality dimensions, and data lineage concepts.
  • Hands-on experience with issue/workflow tooling such as ServiceNow, Collibra, Informatica Data Management Cloud, or equivalent platforms.
  • Basic analytical skills with the ability to investigate or guide investigation of data issues across systems, transformations, and reporting layers.
  • Proficiency in SQL and the ability to navigate large datasets for investigation and validation purposes.
  • Excellent written and verbal communication skills, including the ability to translate technical findings for non-technical audiences and produce executive-ready reporting.
  • Demonstrated stakeholder management skills, with experience influencing without direct authority across business and technology functions.

Benefits

Comp & perks
  • Total Rewards Program focusing on health, wellbeing, financial security, and professional development

ATS Keywords

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Hard Skills & Tools
data governancedata qualitydata managementoperational riskauditissue managementremediationSQLdata lineageanalytical skills
Soft Skills
communication skillsstakeholder managementinfluencing skillscollaborationproblem-solving