Job Description
DeliveryManager – Data Engineering Programs
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RoleSummary
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We 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.
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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.
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KeyResponsibilities
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DeliveryLeadership
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Ownend-to-end delivery of Data Engineering programs, ensuring alignment withbusiness objectives and client expectations.
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Establishprogramme governance, delivery frameworks, reporting cadence, and riskmanagement processes.
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Managescope, schedule, budget, quality, and resource planning across multipleconcurrent initiatives.
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Ensuresuccessful delivery of data engineering initiatives.
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DriveAgile, Scrum, and DevOps delivery practices across distributed teams.
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Client& Stakeholder Management
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Serveas the primary point of contact for business and technology stakeholders.
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Buildtrusted relationships with client leadership and internal executives.
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Facilitateprogramme
reviews, and executive reporting.
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DataEngineering & Technology Oversight
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Providedelivery oversight for enterprise data platforms built on Azure, MicrosoftFabric, Synapse.
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Ensureengineering teams adhere to architecture standards, security requirements,and best practices.
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Overseeimplementation
of:
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DataWarehousing and Lakehouse solutions
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Dataquality and governance frameworks
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AIinitiatives
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Partnerwith architects to drive scalable, secure,



and cost-effective solutions.
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Managecontract commitments, resource utilization, delivery KPIs.
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Identifyopportunities
for account growth, service expansion, and valuerealization.
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Risk& Quality Management
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Establishdelivery assurance practices.
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Proactivelyidentify
programme risks, dependencies, and mitigation plans.
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Ensurecompliance with governance, security, regulatory, and audit requirements.
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Drivecontinuous improvement across delivery processes and operational metrics.
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PeopleLeadership
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Build,mentor, and lead high-performing Data Engineering teams.
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Supporthiring, onboarding, workforce planning, performance management, and careerdevelopment.
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Fostera culture of accountability, collaboration, innovation, and
continuouslearning.
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RequiredQualifications
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12+years of IT experience with at least 5+ years managing large DataEngineering or Analytics programs.
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Strongunderstanding
of up-to-date data architectures and cloud-native platforms.
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Experiencemanaging geographically distributed delivery teams.
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TechnicalExpertise
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DataPlatforms
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MicrosoftFabric
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SQLServer
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PowerBI
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DataWarehousing
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LakehouseArchitecture
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DataModeling
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ETL/ELTFrameworks
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DataGovernance
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DataQuality Management
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PerformanceOptimization
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Delivery& Operations
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Agile/ Scrum
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Release& Change Management
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Programmeleadership
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Clientrelationship management
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Riskand issue management
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Strongcommunication
and presentation skills
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Teambuilding and people leadership
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Negotiationand conflict resolution
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Outcomeownership and execution excellence
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SuccessMeasures
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On-timeand on-budget programme delivery
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Clientsatisfaction and CSAT improvement
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Revenueand margin achievement
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Deliveryquality and defect reduction
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Teamengagement and retention
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Continuousimprovement
and innovation outcomes
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📌 Delivery Lead With Data Engineer (New South Wales)
🏢 XPT Software
📍 New South Wales