We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 37 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Supports the data migration workstream by managing trackers, validating data outputs, coordinating test data readiness, and ensuring completeness of documentation and audit artifacts. Works closely with the Data Migration Lead, vendors, and cross-functional teams to ensure accurate and timely migration execution.
Responsibilities:
- Maintain and update migration workplan trackers (mock run schedule, environment data refresh plan, reconciliation checkpoints, cutover readiness checklist).
- Support requirements-to-data traceability: maintain source-to-target mapping tracker, transformation rule clarifications, and sign-off status across stakeholders.
- Perform data validation activities using agreed control framework (record counts, control totals, sample-based checks, exception analysis) against vendor outputs.
- Support reconciliation preparation and review (balance reconciliations, account-level variances, GL/SL tie-outs where applicable); document findings and follow up with owners.
- Manage defect and exception logs for data migration (capture issues, categorize root cause themes, track to closure, support evidence collation).
- Coordinate data-related SIT/UAT readiness: confirm test data availability, refresh requests, masking requirements (if applicable), and resolve data blockers with vendor/IT teams.
- Prepare artifacts and evidence for governance and auditability (mapping approvals, run results, reconciliation reports, signoff packs, cutover runbooks attachments).
- Produce regular status updates and dashboards for the Data Migration Lead (progress, risks/issues, decisions needed, upcoming milestones).
- Support cutover activities and mock runs (checklist execution support, results collation, variance reporting, post-run lessons learned capture).
- Ensure adherence to BDO data security and access controls when handling extracts, files, and non-production data.