Role purpose The Data Migration & Archiving Workstream Delivery Lead is responsible for leading AstraZeneca’s data migration and archiving workstream for the LMS Replacement Programme, working in close partnership with the implementation partner responsible for executing key migration activities. The role combines deep data migration and archiving subject matter expertise with workstream delivery leadership across data discovery, profiling, mapping, transformation, migration dry runs, reconciliation and archiving. Reporting to the IT Delivery Lead, the role owns the detailed workstream plan and delivery of agreed AstraZeneca migration and archiving outputs. It works closely with Business Delivery, data owners and SMEs, Quality, Testing, the Technical Workstream, the Learning IT BP and Platform Lead, Enterprise Archiving Services and the implementation partner. This role is not accountable for overall technology delivery, the integrated programme plan, programme-level RAID, enterprise data policy, platform ownership, platform standards or programme governance. These renderstanding of automation or analytics techniques that can improve profiling, mapping and reconciliation while maintaining compliance. Key accountabilities Data migration and archiving delivery Develop, maintain and execute the detailed Data Migration & Archiving workstream plan aligned to the integrated technology delivery plan. Lead day-to-day delivery of agrrience Cornerstone, Saba or comparable LMS data migration experience. Experience migrating high-volume learent or delivery certifications. Key behaviours
Third-party collaboration
Builds trusted, outcome-focused supplier relationships, establishes clear responsibilities, constructively challenges delivery, and ensures commitments, dependencies and risks are actively managed and escalated.
Data-led and technically credible Brings deep migration and archiving expertise and can challenge assumptions, controls and delivery estimates.
Delivery-focused and accountable Owns workstream outputs and escalates exceptions early rather than absorbing programme-level accountability.
Validation-led and quality-minded Protects data integrity, traceability, reconciliation and inspection readiness. Collaborative and AI-fluent Works across Business Delivery, IT, data owners and suppliers and uses automation responsibly.