CDO Data Quality and Remediation Associate

Organization Description

J.P. Morgan Asset & Wealth Management (AWM) is a global leader in investment management and private banking, serving institutions, financial intermediaries, governments, corporations, and individual investors worldwide. AWM delivers industry-leading investment management and wealth advisory solutions through a global network of investment professionals, advisors, and specialists. AWM manages approximately $7 trillion in client assets, reflecting its position as one of the world's largest asset and wealth managers. Through its Asset Management and Wealth Management businesses, AWM provides a comprehensive range of investment strategies, banking services, and wealth planning solutions designed to help clients achieve their long-term financial objectives.

Job Overview

The Asset & Wealth Management (AWM) Chief Data Office (CDO) is responsible for ensuring high-quality, trusted data is available to support business operations, client outcomes, risk management, and regulatory obligations. As an Associate within the Data Quality & Remediation team, you will support data quality governance, issue management, data remediation, and reporting activities across critical Wealth Management data domains. You will partner with Business, Operations, Technology, and Data stakeholders to identify data quality issues, perform analysis, support remediation efforts, and improve data quality controls.

Job Responsibilities

• Data Quality Management & Remediation
  Support the end-to-end Data Quality Issue Management lifecycle from identification through closure. Analyze data quality issues, perform root-cause analysis, and coordinate remediation activities with business and technology teams. Track issue progress, risks, dependencies, and remediation milestones. Support regulatory, audit, and control-related remediation initiatives.

• Data Analysis & Controls
  Perform data analysis to identify trends, anomalies, control gaps, and data quality risks. Conduct impact analysis and data lineage assessments. Support development and validation of data quality controls and monitoring processes. Assist in reconciliation, exception management, and data remediation activities.

• Reporting & Governance
  Develop and maintain dashboards, scorecards, KPIs, and management reports. Prepare governance materials, status updates, and presentation packs for stakeholders. Support data governance activities, including Critical Data Elements (CDEs), metadata management, data quality standards, and control documentation.

• Stakeholder Partnership
  Collaborate with Business, Operations, Compliance, and Technology teams to resolve data quality issues. Facilitate discussions relating to data definitions, ownership, data usage, and remediation requirements. Support governance forums and working groups focused on data quality and data governance.

• AI, Automation & Continuous Improvement
  Utilize AI-enabled and automation tools to improve efficiency in data analysis, reporting, and issue management processes. Identify opportunities to streamline manual activities and enhance control effectiveness. Support continuous improvement initiatives across Data Quality and Governance functions

Required Qualifications, Skills & Capabilities

1. Experience & Education

   1. Bachelor's degree required

   2. 4-8 years of experience in Financial Services, Data Management, Data Governance, Data Quality, Business Analysis, Technology, or Consulting

   3. Experience supporting data quality, governance, or remediation initiatives.

2. Domain Knowledge

   1. Must have: In-depth knowledge of Client, Account, and KYC data domains within financial services.
   2. Understanding of Wealth Management, Party, Reference Data, or related financial services data domains.
   3. Familiarity with Data Governance, Data Quality, Data Lineage, Controls, and Issue Management concepts.

3. Technical Skills

   1. Strong SQL and Excel skills.

   2. Experience with Tableau, Alteryx, Power BI, Qlik, or similar analytics and visualization platforms.

   3. Experience creating reports, dashboards, and management metrics.

4. Communication & Analytical Skills
   Strong written, verbal, and presentation skills. Ability to communicate data-related findings to both technical and non-technical audiences. Strong analytical, problem-solving, and critical-thinking capabilities. Ability to translate complex data into actionable insights and recommendations.

Preferred Qualifications

• Familiarity with Python, Snowflake, AI-enabled analytics tools, or automation solutions is preferred.