We are seeking an experienced Senior Data Operations Specialist to support a large-scale digital architecture programme involving multi-region renewal and installed base data consolidation.

This is a hands-on, investigative, senior-level role for someone who excels at navigating complex systems, reverse-engineering data structures, and producing clean, reliable datasets under pressure. It requires a mature operator — someone who has seen messy ERP/legacy environments before and can impose structure quickly.

If you enjoy understanding how data really flows inside an organisation, solving reconciliation puzzles, and stabilising high-impact operational data, this role will suit you.

What You Will Do

Data Reconciliation & Cleansing

• Clean, reconcile, and validate renewal and installed base datasets sourced from ERPs, legacy systems, vendor files, and unstructured formats.
• Align serial numbers, assets, contract histories, and renewal cycles with high accuracy.
• Reverse-engineer logic where documentation is incomplete or non-existent.

Go-Live Readiness Across Multiple Regions

• Own data preparation and validation for regional deployments.
• Ensure high-quality datasets are delivered on time to avoid rollout delays.

Systems Navigation & Investigation

• Query Oracle SQL and related systems to trace data lineage and resolve inconsistencies.
• Access and understand new systems quickly — source-system familiarity is helpful but not required for the right senior operator.

Stakeholder Collaboration

• Work with internal technical leads and business users to clarify rules, surface issues, and present findings clearly.
• Provide early wins that build confidence and reduce dependencies on internal staff.

Documentation & Repeatability

• Document logic, rules, and reconciliation steps so they can be reused for future regions.

About You

Essential Experience

• 7–10+ years in hands-on data operations, data engineering, or ERP data reconciliation roles.
• Strong SQL capability (Oracle ideal) and confidence navigating unfamiliar systems.
• Demonstrated experience cleaning, reconciling, and validating large, inconsistent datasets.
• Ability to operate independently, investigate root causes, and make decisions without step-by-step direction.
• Strong communication skills and a mature, composed working style.
• Someone who has very clearly “been here before” — this is not a first-rodeo role.

Nice to Have

• Experience with renewal or installed base data.
• Experience working across multiple regions or business units.
• Familiarity with vendor-supplied data or contract/serial logic.

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