Develop and implement master data management strategies aligned with business goals.

Define data quality metrics and establish processes for monitoring and improving data accuracy.

Collaborate with stakeholders to identify critical data elements and establish data governance policies.

Design and maintain master data repositories, ensuring data consistency and integrity.

Perform data profiling and analysis to identify data quality issues and root causes.

Develop and maintain data dictionaries and metadata repositories to document master data elements.

Implement data cleansing and standardization processes to improve data quality.

Monitor data quality metrics and generate reports to track progress and identify areas for improvement.

Provide training and support to data users on master data management processes and tools.

Participate in data governance meetings and contribute to the development of data policies and standards.

Crafting data models and database designs to ensure efficient data storage and retrieval.

Implementing data quality checks and resolving inconsistencies to maintain data integrity.

Establishing and enforcing data governance policies to ensure data compliance and security.

Regularly updating and cleansing master data to ensure accuracy and reliability.

Developing and managing data integration processes to consolidate data from various sources.

Creating and maintaining metadata repositories to document data assets and their lineage.

Standardizing data formats and definitions across different systems for consistency.

Implementing data security measures to protect sensitive master data from unauthorized access.

Conducting regular audits of master data to identify and correct errors or discrepancies.

Working with business stakeholders to understand their data needs and requirements.

Assisting in data migration projects by ensuring the accurate transfer of master data.

Creating documentation and training materials for master data processes and systems.