Data Consultant - Data Governance

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. As a Data Consultant specializing in Data Governance, you will design, implement, and maintain data governance and data management processes for clients. This role involves collaborating with stakeholders to deliver data governance solutions and ensure effective data quality and metadata management. Your primary responsibilities will include: • Design Data Governance Processes: Develop and implement data governance processes, including stakeholder analysis, communication plans, and execution of communications to ensure effective data management. • Create Metadata Management Repositories: Design and create metadata management repositories to capture business and data quality rules, and develop data quality reports and dashboards to monitor and report on data quality. • Implement Data Quality Rules: Collaborate with technical resources to implement data quality rules and automate monitoring and reporting to ensure data accuracy and integrity. • Facilitate Issue Resolution: Operate issue tracking processes and facilitate resolution with clients to ensure prompt and effective issue resolution. • Maintain Data Governance Solutions: Maintain and update data governance processes and solutions to ensure ongoing data quality and metadata management. • Exposure to Data Governance Technologies: Foundational understanding of data governance technologies for data quality and metadata management, including design and implementation of data governance processes. • Data Quality and Metadata Management: Experience working with data quality and metadata management concepts, including developing data quality reports and dashboards to monitor and report on data quality. • Stakeholder Analysis and Communication: Exposure to stakeholder analysis and communication planning, including execution of communications to ensure effective data management. • Technical Collaboration: Experience working with technical resources to implement data quality rules and automate monitoring and reporting. • Issue Tracking and Resolution: Exposure to issue tracking processes and facilitating resolution with clients to ensure prompt and effective issue resolution. • Data Governance Tools: Exposure to data governance tools and technologies for data quality and metadata management, including data catalogues and business glossaries. • Metadata Management Systems: Experience working with metadata management systems, including design and implementation of metadata repositories. • Data Quality Frameworks: Exposure to data quality frameworks and methodologies, including data quality dimensions and metrics. Korea, Republic of Consulting Hybrid Professional Seoul, KR Seoul (0079) IBM Korea, Inc. Communication Data Governance Data Management Data Quality Defect Tracking Design Metadata Planning Reporting Collaboration Data Cataloging Data Glossary Stakeholder Analysis Metadata Management