DeliveryManager – Data Engineering ProgramsRoleSummaryWe areseeking an experienced Delivery Manager to lead the successful deliveryof large-scale Data Engineering programs.
The role requires ownership ofend-to-end delivery, including planning, execution, governance, stakeholderengagement, and team leadership.
The ideal candidate will possess a strong backgroundin cloud data platforms, data warehousing, data engineering practices, andprogramme delivery management.TheDelivery Manager will act as the primary interface between businessstakeholders, clients, architecture teams, and engineering teams to ensurehigh-quality, on-time, and on-budget delivery of strategic data initiatives.
KeyResponsibilitiesDeliveryLeadershipOwn end-to-end delivery of Data Engineering programs, ensuring alignment with business objectives and client expectations.Establish programme governance, delivery frameworks, reporting cadence, and risk management processes.Manage scope, schedule, budget, quality, and resource planning across multiple concurrent initiatives.Ensure successful delivery of data engineering initiatives.Drive Agile, Scrum, and DevOps delivery practices across distributed teams.Client& Stakeholder ManagementServe as the primary point of contact for business and technology stakeholders.Build trusted relationships with client leadership and internal executives.Facilitate programme reviews, and executive reporting.Translate business requirements into executable delivery roadmaps.DataEngineering & Technology OversightProvide delivery oversight for enterprise data platforms built on Azure, Microsoft Fabric, Synapse.Ensure engineering teams adhere to architecture standards, security requirements, and best practices.Oversee implementation of: Data Warehousing and Lakehouse solutionsETL/ELT pipelinesData quality and governance frameworksAI initiativesPartner with architects to drive scalable, secure,



and cost-effective solutions.Financial& Commercial ManagementManage contract commitments, resource utilization, and delivery KPIs.Identify opportunities for account growth, service expansion, and value realization.Risk& Quality ManagementEstablish delivery assurance practices.Proactively identify programme risks, dependencies, and mitigation plans.Ensure compliance with governance, security, regulatory, and audit requirements.Drive continuous improvement across delivery processes and operational metrics.PeopleLeadershipBuild, mentor, and lead high-performing Data Engineering teams.Support hiring, onboarding, workforce planning, performance management, and career development.Foster a culture of accountability, collaboration, innovation, and continuous learning.
RequiredQualifications12+ years of IT experience with at least 5+ years managing large Data Engineering or Analytics programs.Proven experience leading enterprise-scale data transformation initiatives.Strong understanding of contemporary data architectures and cloud-native platforms.Experience managing geographically distributed delivery teams.
TechnicalExpertiseDataPlatformsMicrosoft AzureMicrosoft FabricAzure Data Factory (ADF)Azure Synapse AnalyticsSQL ServerPower BIDataEngineeringData WarehousingLakehouse ArchitectureData ModelingETL/ELT FrameworksData GovernanceData Quality ManagementPerformance OptimizationDelivery& OperationsAgile / ScrumAzure DevOps / JiraRelease & Change Management EssentialSkillsProgramme leadershipExecutive stakeholder managementClient relationship managementRisk and issue managementStrong communication and presentation skillsTeam building and people leadershipNegotiation and conflict resolutionOutcome ownership and execution excellence SuccessMeasuresOn-time and on-budget programme deliveryClient satisfaction and CSAT improvementRevenue and margin achievementDelivery quality and defect reductionTeam engagement and retentionAdoption of engineering best practicesContinuous improvement and innovation outcomes

📌 Delivery Lead With Data Engineer (Melbourne)
🏢 XPT Software Australia Pty
📍 Melbourne