Master Data Lead
Sydney | Hybrid
Contract
The Opportunity
- We’re partnering with a leading large-scale consumer organisation on a high-priority data remediation initiative supporting several major technology and transformation programs.
- We’re looking for an experienced Master Data Lead to assess the current data landscape, identify and diagnose data-quality issues, and establish a clear remediation roadmap and longer-term governance approach.
- This is a hands-on consulting role, combining strong technical data investigation with Master Data expertise and senior stakeholder management.
Key Responsibilities
- Lead an end-to-end diagnostic of Master Data quality across multiple interconnected systems.
- Profile large datasets to identify outdated, duplicated, incomplete and incorrectly configured records.
- Perform data mapping, cleansing, validation, issue categorisation and root-cause analysis.
- Assess and rationalise complex legacy Master Data.
- Investigate parent-child and hierarchical data structures and identify inconsistencies impacting downstream processes.
- Trace data flows across source systems, operational platforms, integrations and reporting environments.
- Use SQL to interrogate data across multiple relational tables and identify underlying issues.
- Identify the root cause and downstream business impact of data-quality problems.
- Assess cross-system identifiers and contribute to a more consistent target-state data structure.
- Help establish a longer-term Master Data governance framework and operating model.
Skillset
- Strong experience across Master Data Management, Data Remediation, Data Quality and Data Governance.
- Experience within retail, FMCG, supply chain, consumer or another high-volume operational environment
- Strong SQL capability and confidence working hands-on with complex relational datasets.
- Experience with data profiling, mapping, cleansing, validation and root-cause analysis.
- Experience rationalising large or complex legacy datasets.
- Strong understanding of parent-child / hierarchical Master Data structures.
- Experience investigating data issues across multiple interconnected platforms.
- Ability to translate technical findings into clear business and operational impacts.
- Strong stakeholder management skills across both technical and non-technical teams.
- Ability to independently lead a diagnostic/remediation workstream from problem identification through to recommendations and execution planning.
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