To manage and maintain the accuracy, consistency, and reliability of data across operational systems,
ensuring clean and validated data supports operational efficiency, reporting precision, and
decision-making. Further, to oversee updates to critical datasets, manage hierarchies and call cycles,
and ensure all data structures align with business and field operational needs.
Master Data Ownership & Integrity
● Maintain full accountability for data accuracy and completeness within MDM and Informs platforms.
● Act as the central custodian of master data, ensuring that foundational data supports all downstream systems and analytics effectively.
Critical Data Updates & Maintenance
● Regularly update and manage key master data components, including:
Product - Store Profiling
Recommended Selling Prices (RSPs)
Retailer Codes
User-Defined Fields (in both Store and Product Masters)
KPI Targets
SKU mapping corrections between the Product Master and Retailer Models
Cycle Management & Field Support
● Generate and maintain call cycle reports to support accurate and efficient field deployment
planning.
● Review and validate S&A and Pharma call cycles and coverage, ensuring alignment with operational requirements. Hierarchy & Architecture Management
● Administer changes to business hierarchies, ensuring that data structures and reporting logic reflect current organizational and operational models.
● Maintain integrity in data relationships to support clear and consistent analytics.
Quality Assurance & Validation
● Perform ongoing validation of all master data fields to detect anomalies, correct inconsistencies, and uphold quality standards.
● Support business users by ensuring clean, reliable data for use in reporting, planning, and execution.
Success Profile
● Highly detail-oriented with a strong commitment to data accuracy and governance.
● Skilled in working with enterprise master data systems and reporting tools.
● Strong understanding of field operations and their dependency on reliable data structures.
● Proactive problem-solver with a methodical approach to data validation and hierarchy management.
● Collaborative communicator capable of liaising across business units to ensure consistency and transparency in data use.
You'll apply on Smollan's own site before 11 December 2026. Put your most relevant experience at the top of your CV first.
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