About The Position

Lead end-to-end execution of a large-scale IBM DataStage-to-Microsoft Fabric modernization program. Coordinate architecture, engineering, migration, testing, deployment, and business stakeholders, while owning program planning, execution governance, dependencies, risks, customer communication, and delivery outcomes. The role drives work across assessment, architecture, migration, engineering, testing and user acceptance testing, deployment, and production readiness, and supports release planning, cutover, operational handover, and post-production stabilization.

Requirements

  • Strong experience managing enterprise data platform modernization or migration programs.
  • Good working knowledge of Microsoft Fabric and the Azure Data Platform.
  • Ability to manage complex programs involving multiple engineering workstreams and dependencies.
  • Strong customer-facing, stakeholder management, and executive communication skills.
  • Ability to challenge technical teams, understand architecture discussions, and translate technical issues into clear program actions.

Nice To Haves

  • Exposure to IBM DataStage migration or modernization programs.
  • Microsoft Fabric or Azure certifications.

Responsibilities

  • Own end-to-end program execution for DataStage-to-Microsoft Fabric modernization.
  • Drive planning across assessment, architecture, migration, engineering, testing/UAT, deployment, and production readiness.
  • Partner with Fabric Architects and engineering leads on migration scope, DataStage job dependencies, solution design, and technical decisions.
  • Manage program milestones, RAID, dependencies, deliverables, and the critical path.
  • Establish execution governance, status reporting, metrics, and leadership and customer reviews.
  • Coordinate across data engineering, architecture, DevOps, QA, business, and customer teams.
  • Drive environment, access, infrastructure, and deployment readiness.
  • Identify technical blockers and cross-team dependencies early, assign clear owners, and drive them to closure.
  • Track migration progress and ensure delivery quality against agreed scope and timelines.
  • Communicate progress, risks, decisions, and required actions clearly to executives and customers.
  • Drive release planning, cutover readiness, operational handover, and post-production stabilization.
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