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Coordinate and deliver training for an SAP S/4HANA transformation: plan schedules, organise sessions and logistics, create and update training materials with SMEs, track attendance and completion, report progress, gather feedback, and support post-go-live refresher and user readiness activities.

Leads end-to-end data products from ingestion and transformation through semantic modeling, Power BI reporting, documentation, governance, and user adoption. Builds Microsoft Fabric pipelines, Lakehouse or Warehouse architectures, dimensional models, and secure, optimized Power BI solutions. Analyzes data, supports advanced analytics and AI-assisted reporting, establishes quality and CI/CD practices, collaborates with cross-functional stakeholders, and manages data engineers through objectives, reviews, and development.

Owns the organization’s CI/CD estate across application and data platforms. Responsibilities include building GitHub Actions workflows, migrating Azure DevOps pipelines, enforcing release and security standards, implementing Terraform or Bicep infrastructure as code, supporting Snowflake and Microsoft Fabric delivery, establishing DORA metrics, and coaching engineering teams on DevOps best practices.

Design, build and deploy AI workflows using Azure AI, Copilot Studio and Microsoft Fabric; integrate solutions with SAP and Salesforce; own end-to-end delivery, DevOps/MLOps/AIOps practices, governance, monitoring, and stakeholder adoption; provide technical leadership and reusable patterns to scale AI adoption across the business.