Master Data Management Job Description Template

In the Master Data Management role, you will be responsible for the governance and management of critical data assets within the organization. You will ensure data integrity, quality, and consistency across various systems. Your role involves collaborating with cross-functional teams to implement and maintain best practices for data management.

Responsibilities

  • Develop and implement master data management strategies and policies.
  • Ensure data quality, consistency, and accuracy across systems.
  • Collaborate with business units to align data management practices with business needs.
  • Oversee data integration, data cleansing, and data migration projects.
  • Monitor data quality metrics and reports.
  • Establish and maintain data governance frameworks.
  • Facilitate data-related issue resolution and troubleshooting.
  • Provide training and support to data stewards and other stakeholders.
  • Work with IT to design and implement data management tools and technologies.

Qualifications

  • Bachelor's degree in Information Technology, Computer Science, or a related field.
  • Proven experience in master data management or similar roles.
  • Strong understanding of data governance, data quality, and data stewardship principles.
  • Experience with data management and data integration tools such as Informatica, SAP MDM, or similar.
  • Knowledge of database systems, data modeling, and SQL.
  • Excellent analytical and problem-solving skills.
  • Strong communication and collaboration skills.
  • Attention to detail and commitment to data accuracy.

Skills

  • Informatica
  • SAP MDM
  • SQL
  • Data Governance
  • Data Quality
  • Data Modeling
  • Data Integration
  • Problem-Solving
  • Analytical Skills

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Frequently Asked Questions

A Master Data Management (MDM) professional is responsible for maintaining a company's core data assets to ensure they are consistent, accurate, and available across the organization. This includes managing customer, product, and supplier data, implementing data governance policies, and using MDM tools to integrate data from various sources. Their work ensures data-driven decision-making is reliable and efficient, impacting business operations effectively.

To become a Master Data Management expert, individuals typically pursue a degree in Information Technology, Data Management, or a related field. Gaining certification in database management systems or data quality tools can also be advantageous. Practical experience in data governance, data integration, and analytics is crucial. Building skills in data modeling, mastering systems like SQL, and gaining knowledge in industry-specific data standards will also aid in this career path.

The average salary for a Master Data Management specialist varies depending on experience, geographical location, and industry. Generally, MDM specialists can expect competitive compensation due to their critical role in ensuring data integrity and support for business operations. Positions in larger corporations or sectors such as finance and healthcare often offer higher salaries, reflecting the importance of robust data management in these fields.

Candidates for a Master Data Management role generally need a bachelor's degree in Computer Science, Information Systems, or a related discipline. Certifications in data management areas, such as Data Governance or Data Quality, are beneficial. Employers also look for hands-on experience with MDM tools, a solid understanding of data architecture frameworks, and proficiency in programming languages and databases relevant to data management.

Successful Master Data Management professionals are skilled in data integration, governance, and quality assurance. They must be adept at using MDM platforms and possess strong analytical skills to monitor and implement data policies. Responsibilities often include ensuring data consistency, removing data silos, and supporting data-driven insights. Effective communication and problem-solving skills are also critical to collaborate across departments and manage complex data projects.