Job Description
Delivery Manager – Data Engineering Programs
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Role Summary
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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.
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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.
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Key Responsibilities
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Delivery Leadership
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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
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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
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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
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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
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12+ years of IT experience with at least 5+ years managing large Data Engineering or Analytics programs.
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Strong understanding of up-to-date data architectures and cloud-native platforms.
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Experience managing geographically distributed delivery teams.
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Technical Expertise
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Data Platforms
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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
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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
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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 (Victoria)
🏢 XPT Software
📍 Victoria