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.
What Success Looks Like (First 90 Days)
* High-quality, reconciled datasets delivered for multiple regional deployments.
* Material reduction in data-related delays.
* Clear documentation and repeatable processes established.
* Confidence earned from technical and management stakeholders.