Job Description

Delivery Manager – Data Engineering Programs Role Summary n

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 solid background in cloud data platforms, data warehousing, data engineering practices, and programme delivery management.

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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 n

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- Own end-to-end delivery of Data Engineering programs, ensuring alignment with business objectives and client expectations.
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- Establish programme governance, delivery frameworks, reporting cadence, and risk management processes.
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- Manage scope, schedule, budget, quality, and resource planning across multiple concurrent initiatives.
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- Ensure successful delivery of data engineering initiatives.
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- Drive Agile, Scrum, and DevOps delivery practices across distributed teams.
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Client & Stakeholder Management nn
- Serve as the primary point of contact for business and technology stakeholders.
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- Build trusted relationships with client leadership and internal executives.
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- Facilitate programme reviews, and executive reporting.
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Data Engineering & Technology Oversight nn
- Provide delivery oversight for enterprise data platforms built on Azure, Microsoft Fabric, Synapse.
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- Ensure engineering teams adhere to architecture standards, security requirements, and best practices.
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- Oversee implementation of:
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- Data Warehousing and Lakehouse solutions
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- Data quality and governance frameworks
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- AI initiatives
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- Partner with architects to drive scalable, secure,



and cost-effective solutions.
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- Manage contract commitments, resource utilization, and delivery KPIs.
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- Identify opportunities for account growth, service expansion, and value realization.
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Risk & Quality Management nn
- Establish delivery assurance practices.
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- Proactively identify programme risks, dependencies, and mitigation plans.
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- Ensure compliance with governance, security, regulatory, and audit requirements.
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- Drive continuous improvement across delivery processes and operational metrics.
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- Build, mentor, and lead high-performing Data Engineering teams.
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- Support hiring, onboarding, workforce planning, performance management, and career development.
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- Foster a culture of accountability, collaboration, innovation, and continuous learning.
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Required Qualifications nn
- 12+ years of IT experience with at least 5+ years managing large Data Engineering or Analytics programs.
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- Strong understanding of modern data architectures and cloud-native platforms.
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- Experience managing geographically distributed delivery teams.
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Technical Expertise Data Platforms nn
- Microsoft Fabric
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- SQL Server
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- Power BI
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- Data Warehousing
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- Lakehouse Architecture
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- Data Modeling
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- ETL/ELT Frameworks
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- Data Governance
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- Data Quality Management
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- Performance Optimization
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Delivery & Operations nn
- Agile / Scrum
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- Release & Change Management
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- Client relationship management
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- Risk and issue management
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- Strong communication and presentation skills
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- Team building and people leadership
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- Negotiation and conflict resolution
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- Outcome ownership and execution excellence
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Success Measures nn
- On-time and on-budget programme delivery
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- Client satisfaction and CSAT improvement
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- Revenue and margin achievement
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- Delivery quality and defect reduction
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- Team engagement and retention
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- Adoption of engineering best practices
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- Continuous improvement and innovation outcomes
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📌 Delivery Lead with Data Engineer (Melbourne)
🏢 XPT Software
📍 Melbourne