1-YR Contract

Office Location: Joo Koon

Working Arrangement: Hybrid

Job Overview

This role supports the day-to-day quality and governance of product data on attributes, barcodes/GTINs, units of measure, hierarchy - across its current system of record (SAP) and as it moves to new platforms. He/She keeps supplier, internal, and system-submitted data complete, accurate, and standards-compliant; runs data quality routines; maintains the product data dictionary and model documentation; and guides junior team members on data quality practice. Scope adapts as data domains transition off legacy systems and this role executes product data operations wherever the system of record sits at the time.

Key Responsibilities

Catalogue operations

Support end-to-end article master data creation and maintenance for the catalogue domain (SAP and/or PIM as applicable): attribute entry, GTIN/UOM/hierarchy setup, and query resolution with suppliers and internal teams
Process data change requests and bulk updates within agreed SLAs, using system tools where available and structured manual/spreadsheet workflows where not
Act as the catalogue data point of contact during the One SAP transition, ensuring business-as-usual data operations continue uninterrupted as the domain moves between systems

Data quality

Own daily data quality monitoring for catalogue attributes - completeness, accuracy, validity - using dashboards/exception reports are available in the system of record at the time
Manage the exception queue end-to-end: triage by root cause (supplier submission, internal entry, system sync), assign fixes, chase closure, escalate blockers
Run reconciliation checks between systems (e.g. PIM–SAP, or SAP–interim tools) during any parallel-run or transition period
Prepare weekly and monthly data quality reports by domain, with trend analysis and recommended fixes
Plan and execute data cleansing and remediation exercises with product master data and catalogue operations, including bulk validation and correction
Develop the supplier data quality scorecard and run follow-up sessions to improve supplier submission quality

Data governance & product data model

Maintain the product data dictionary: attribute definitions, formats, mandatory/optional rules, valid value lists, and validation rules - kept current as attributes change
Support definition and maintenance of the product data model: attributes, hierarchies, variants, units of measure, and validation rules agreed in design workshops
Log, assess, and route product data model and attribute change requests for approval
Maintain data ownership records (who creates, approves, maintains each data set) across commercial, supply chain, and operations
Audit DAM assets (once available) against agreed taxonomy, file naming, and metadata standards; report and follow up on gaps

Data migration & platform transition

Support data migration and validation as catalogue data moves between systems: field mapping checks, sample-based verification, defect logging during UAT and hypercare
Define data quality rules and validation checks as further domains (site, assortment, pricing, promotion) move out of SAP under One SAP
Document standard operating procedures for data quality and governance routines, updating them as the system of record changes

Job Requirements

Degree in business, information systems, engineering, or related field
1-2 years in master data, catalogue operations, or data quality - retail, FMCG, or e-commerce background preferred
Working knowledge of SAP material management (MM), including units of measure and product hierarchy; hands-on PIM or DAM experience is a strong advantage
Strong spreadsheet skills (Google Apps Script, lookups, pivot tables, large data sets); SQL or reporting tool exposure is a plus
Experience supporting a system implementation, data migration, or UAT is an advantage
Able to document standards clearly and get cross-functional teams to follow them
Meticulous and process-minded, with the maturity to work independently and escalate the right things at the right time

Product Executive

Executive (Business Systems Management) - Product Data Management