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



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

📌 Delivery Lead With Data Engineer (New South Wales)
🏢 XPT Software
📍 New South Wales