JPMorgan Data Management Lead - Quality 

Philippines, Quezon City 

228865476

Job Responsibilities:

• Manage portfolio(s) of data quality items related to Consumer & Community Banking businesses, Products, and/or Functional Areas
• Ensure data quality items are progressing throughout the DQ Item Management lifecycle in a timely manner (Intake, Prioritize, Analyze, Commit, Resolve, and Closure)
• Develop strong partnerships with Technology, the Controls Organization, Product/Data Owners, Executives/Business Leads, Compliance, Legal, AML/KYC, and other stakeholders
• Collaborate with key stakeholders to identify tactical and strategic resolution paths including ownership and timeframes for completion
• Host Data Quality Working Groups and Review Boards and present data quality item summaries to stakeholders for awareness and approvals
• Produce monthly reporting to Controls organization and stakeholders to ensure they are aware of the data quality items and next steps needed for resolution
• Actively support the broader Data Governance team’s strategic initiatives and goals

Required Qualifications, Capabilities, and Skills:

• Bachelor's degree in Business, Data Management, or related field
• Minimum of 5 years of experience with Data Management concepts in Data Analytics, Data Governance, Risk, Controls, or Compliance
• Strong verbal and written communication skills to present research findings and resolution paths in Executive-level forums
• Excellent interpersonal and leadership skills including the ability to resolve conflict, create consensus, and to make effective decisions as a team
• Ability to independently set priorities and manage multiple initiatives simultaneously with the focus of delivering a high-quality product to the business, our customer
• Ability to build strong partnerships, desire to learn quickly, and to effectively meet or exceed deadlines

Preferred Qualifications, Capabilities, and Skills:

• Knowledge of Consumer & Community Banking businesses, Functional Areas (i.e., Marketing), Technology, and Regulatory Reporting
• Prior experience and knowledge of standard data scheduling, transmission protocols, and producer-consumer standards
• Basic understanding of machine learning and artificial intelligence
• Skills: MS Excel (Proficiency), MS PowerPoint (Proficiency), Teradata SQL (Basic Knowledge), Alteryx (Basic Knowledge), and AWS Cloud services (Basic Knowledge)