Data Quality Management
- Collect and manage metadata, including Business Glossary and Data Lineage.
- Lead change management process by reviewing requests and routing to appropriate individuals
- Support identification and management of Critical Data Elements
- Coordinate the resolution of data governance issues: maintain issues list, follows-up with stakeholders on open 'Action Items'. Establishes ongoing communication with stakeholders to communicate work progress and outcome.
- Monitor data governance metrics and SLAs, assuring required KPI levels are within established thresholds
- Perform quality control process to ensure system configuration is in accordance with requirements
- Supports Consistency of Usage analysis; gathers all necessary data inputs for analysis, understanding analysis objectives/outcomes and developing the appropriate analysis method, preparing and delivering analysis results, offering remediation insights
- Supports the development of business rules and hypotheses to test the consistency of usage
- Supports Data Quality dashboard and “to-do list” requirements for monitoring and remediation
- Work with Data Stewards to coordinate the creation of data quality controls and monitoring tools.
- Implementation of Data Quality tool to deliver end to end Data Quality solutions
- Coordinate with Data Custodian, Data Domain Owners and Stewards for implementation of the Data Quality Business rules for corresponding dimensions
- Document and manage the Technical Data Quality rules
Knowledge, Skills and Abilities
- BA/BS in Business Administration, Communications, Accounting, Computer Science or Finance as well as any other related field of expertise
- 10+ years of experience in the Financial or Investment Services Industry in one or more of the following areas: Data Quality Development, Business Analysis, Data Management, Data Analysis & Reporting.
- Involved in each stage of data quality development cycle i.e. Analysis, Designing, Development, Testing and Documentation for data quality initiatives.
- Working knowledge of different data profiling methodologies, familiar with complex SQL queries and Data Quality rules on Data Quality Platform
- Working knowledge of Integration with different tools and technologies like Collibra, Power BI, etc.
- Working knowledge of Data Quality assets management, DQ Scorecards, Issue management and Data Quality rules implementation
- Proficient in Stakeholder management and project management.
- Working knowledge of reporting methodology for supporting Data Extraction, Data Quality with wide Reporting solution using Data Quality and reporting tools
- Rollout an enterprise-wide data quality framework, with focus on improvement of Data Quality framework
- Good exposure to UNIX or any scripting language
- Good exposure to DQ projects deployment
- Good exposure to Unit Testing and Production Support
MetLife:
MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies, providing insurance, annuities, employee benefits and asset management to help its individual and institutional customers navigate their changing world. Founded in 1868, MetLife has operations in more than 40 countries and holds leading market positions in the United States, Japan, Latin America, Asia, Europe and the Middle East.
We are ranked #44 on the Fortune 500 list for 2019. In 2019, we were named to the Dow Jones Sustainability Index (DJSI) for the fourth year in a row. DJSI is a global index to track the leading sustainability-driven companies.
MetLife is committed to building a purpose-driven and inclusive culture that energizes our people. Our employees work every day to help build a more confident future for people around the world.
MetLife is a proud Equal Employment Opportunity and Affirmative Action employer dedicated to attracting, retaining, and developing a diverse and inclusive workforce. All qualified applicants will receive consideration for employment at MetLife without regards to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law.
