DMart
SAP MDM Lead
- Compensation
- Not disclosed
- Location
- Thane
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Not specified
- Posted
Skills
Full description
KEY SKILLS AND EXPERIENCE :
- Demonstrable working experience in related data discipline
- Deep understanding of master data management, data governance, and associated technologies
- Proven experience in establishing and operationalizing data management capabilities
- Strong analytical & problem-solving skills with ability to translate ideas into practical implementation
- Ability to manage stakeholder relationships including team members, vendors and partners
- Excellent communication skills with ability to present and communicate effectively with both technical and non-technical audience
- Ability to manage multiple tasks, deadlines and resolution of issues
KEY RESPONSIBILITIES :
- Primary lead for managing master data records within SAP
- Ensure that all data entry takes place in required format, error free and on time
- Responsible for Data Governance and work in conjunction with data team to define protocols and standards for maintaining data
- Establish and implement (master) data management capabilities and best practices aligned with the business, Digital Transformation and Data & Analytics goals and priorities
- Establish consistent metrics to measure quality of data and implemented solutions
- Understand the technology landscape of transactional systems, data management and master data layer, to analytics and consuming applications
- Lead and own the relationship with software vendor(s) and Managed Service Providers supporting MDM initiatives
- Contribute to roadmaps for Data / Information Management
- Define and own relevant data management principles and policies
- Leverage the business to understand the data needs, data dependencies and identify opportunities for business process standardization, ensuring high employee engagement and managing staff career progression
- Identify risks and drive continuous improvements in data management through technological innovation, operational improvement, and championing adoption
- Maintain in-depth industry knowledge regarding best practices and technology advancements