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 solid 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 modern 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-18808-Ljbffr

📌 Delivery Lead with Data Engineer (Sydney)
🏢 XPT Software
📍 Sydney