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.

Translate business requirements into executable delivery roadmaps.

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

ETL/ELT pipelines

Data quality and governance frameworks

AI initiatives

Partner with architects to drive scalable, secure, and cost-effective solutions.

Financial & Commercial Management

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.

People Leadership

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.

Proven experience leading enterprise-scale data transformation initiatives.

Solid understanding of modern data architectures and cloud-native platforms.

Experience managing geographically distributed delivery teams.

Technical Expertise Data Platforms

Microsoft Azure

Microsoft Fabric

Azure Data Factory (ADF)

Azure Synapse Analytics

SQL Server

Power BI

Data Engineering

Data Warehousing

Lakehouse Architecture

Data Modeling

ETL/ELT Frameworks

Data Governance

Data Quality Management

Performance Optimization

Delivery & Operations

Agile / Scrum

Azure DevOps / Jira

Release & Change Management

Essential Skills

Programme leadership

Executive stakeholder 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

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📌 Delivery Lead with Data Engineer (Port Phillip City)
🏢 Xpt Software Australia
📍 Port Phillip City