Delivery Manager – Data Engineering Programs
Role Summary
We are seeking an experienced
Delivery Manager
to lead the successful delivery of large-scale Data Engineering programs.
The role requires ownership of end-to-end delivery, including planning, execution, governance, stakeholder engagement, and team leadership.
The ideal candidate will possess a strong background in cloud data platforms, data warehousing, data engineering practices, and programme delivery management.
The Delivery Manager will act as the primary interface between business stakeholders, clients, architecture teams, and engineering teams to ensure high-quality, on-time, and on-budget delivery of strategic data initiatives.
Key Responsibilities
Delivery Leadership
Own 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 Management
Serve 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.
Data Engineering & Technology Oversight
Provide 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 solutions
Data quality and governance frameworks
AI initiatives
Partner with architects to drive scalable,



secure, and cost-effective solutions.
Manage contract commitments, resource utilization, and delivery KPIs.
Identify opportunities for account growth, service expansion, and value realization.
Risk & Quality Management
Establish 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.
Build, 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.
Required Qualifications
12+ years of IT experience with at least 5+ years managing large Data Engineering or Analytics programs.
Strong understanding of up-to-date data architectures and cloud-native platforms.
Experience managing geographically distributed delivery teams.
Technical Expertise
Data Platforms
Microsoft Fabric
SQL Server
Power BI
Data Warehousing
Lakehouse Architecture
Data Modeling
ETL/ELT Frameworks
Data Governance
Data Quality Management
Performance Optimization
Delivery & Operations
Agile / Scrum
Release & Change Management
Client relationship management
Risk and issue management
Strong communication and presentation skills
Team building and people leadership
Negotiation and conflict resolution
Outcome ownership and execution excellence
Success Measures
On-time and on-budget programme delivery
Client satisfaction and CSAT improvement
Revenue and margin achievement
Delivery quality and defect reduction
Team engagement and retention
Adoption of engineering best practices
Continuous improvement and innovation outcomes
#J-*****-Ljbffr

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