Key Responsibilities:
1. Master Data Governance and Strategy:
A. Develop and implement a robust Master Data Management framework.
B. Standardize and govern master data attributes across all sources (e.g. margins catalog taxes).
C. Ensure data is centralized and consolidated for crossfunctional access.
2. CrossFunctional Collaboration:
A. Work with business teams (e.g. Eretail Vendor Management Finance) to identify and consolidate data attributes and resolve inconsistencies.
B. Collaborate with IT teams for implementation of MDM solutions and tools.
3. Streamlining Processes
A. Design workflows for data creation approval and updates to ensure clean compliant and updated data.
B. Define clear ownership of data attributes within the organization.
4. Data Quality and Governance
A. Implement data quality checks and resolve data integrity issues.
B. Define policies for consistent data entry maintenance and reporting.
5. Business Requirements Gathering
A. Act as the bridge between business teams and technical teams to define functional requirements for master data improvements.
B. Document key business requirements for SKU finance store vendor and other principal masters used by respective biz stakeholders.
6. Test and Execution:
A. Oversee testing and validation of master data to ensure functional and systemlevel performance.
B. Train stakeholders on data governance policies and tools.
Key Qualifications
A. Experience: 1012 years in Master Data Management Data Governance or similar roles.
B. Strong experience in handling master data domains (e.g. SKU Vendor Finance Store WMS partners).
C. Proven expertise in implementing MDM tools and frameworks.
D. Experience managing complex data workflows across multiple platforms.
Preferred Qualifications
A. Experience in Retail Ecommerce or Fashion industries.
B. Certification in Master Data Management or Data Governance frameworks.
C. Familiarity with Agile or other project management methodologies.
Skills Required
1. Technical Proficiency:
A. Handson experience with MDM tools (Preferred SAP).
B. Understanding of data integration relational databases and ERP systems.
2. Analytical Skills:
A. Ability to analyze and streamline complex data processes.
B. Strong problemsolving skills for data inconsistency and quality issues.
3. Business Acumen:
A. Strong understanding of business processes in Eretail vendor management and finance.
B. Ability to align data strategies with organizational goals.
4. Leadership and Communication
A. Excellent stakeholder management and collaboration skills.
B. Strong written and verbal communication for business and technical teams.