Role Value Proposition: Data Governance (DG) is to manage data as a corporate asset by coordinating the people, processes, and technology needed to improve the quality and consistency of data throughout the company and maintain compliance with expected regulations. This role is to support Business Data Domain for Data Governance to identify critical data elements, define business glossaries and data element definition, set the expectation of data quality, and monitor/fix data quality issues. Also, this role is required to interact with data custodians and IT data SMEs to share business requirements of data.
Documentation and conduct of DG activities in accordance with MLJ DG Framework
Execute data governance implementation (defining business glossary, critical data elements, and business data quality rules to upload into MetLife data governance tool, Collibra) activities by collaborating with data custodians and Data Governance team
Support Data Governance BAU maintenance activities (change management and issue management process)
Understand and analyze business process to identify critical business metadata
Design and manage execution of remediation activities for data quality issues (with support from Data Custodians) and resolve business-related Data Quality issues
Define business data quality rules and verify technical data quality rules are aligned with business data quality rules
Build monitoring dashboards to track business metadata compliance status against requirements set out in the DG Framework
Performs other duties as assigned
CANDIDATE QUALIFICATIONS Required:
Bachelor’s Degree in Business Administration, Information Systems, or data governance/management related
5+ years of experience with any combination of the following: Data governance, business process analysis and development, business requirements development, data quality, data management, master/reference data, and metadata management.
Extensive knowledge of insurance processes. They have knowledge on:
(Life) insurance business processes
Key data within business processes
Data quality analysis and process development
Data Issue management
Experience data quality assessment and issue follow up
Excellent communication skills in Japanese, business level of English.
Knowledge on data governance tool (Collibra)
Data Quality Expert
Has a passion to drive a cultural change for data driven company