Job Description
Delivery
n Manager – Data Engineering Programs
n
Role
n Summary
n
We are
n seeking an experienced
Delivery Manager
to lead the successful delivery
n of large-scale Data Engineering programs. The role requires ownership of
n end-to-end delivery, including planning, execution, governance, stakeholder
n engagement, and team leadership. The ideal candidate will possess a strong background
n in cloud data platforms, data warehousing, data engineering practices, and
n programme delivery management.
n
The
n Delivery Manager will act as the primary interface between business
n stakeholders, clients, architecture teams, and engineering teams to ensure
n high-quality, on-time, and on-budget delivery of strategic data initiatives.
n
n
Key
n Responsibilities
n
Delivery
n Leadership
n
n
Own
n end-to-end delivery of Data Engineering programs, ensuring alignment with
n business objectives and client expectations.
n
Establish
n programme governance, delivery frameworks, reporting cadence, and risk
n management processes.
n
Manage
n scope, schedule, budget, quality, and resource planning across multiple
n concurrent initiatives.
n
Ensure
n successful delivery of data engineering initiatives.
n
Drive
n Agile, Scrum, and DevOps delivery practices across distributed teams.
n
n
Client
n & Stakeholder Management
n
n
Serve
n as the primary point of contact for business and technology stakeholders.
n
Build
n trusted relationships with client leadership and internal executives.
n
Facilitate
n programme reviews, and executive reporting.
n
Translate
n business requirements into executable delivery roadmaps.
n
n
Data
n Engineering & Technology Oversight
n
n
Provide




n delivery oversight for enterprise data platforms built on Azure, Microsoft
n Fabric, Synapse.
n
Ensure
n engineering teams adhere to architecture standards, security requirements,
n and best practices.
n
Oversee
n implementation of:
n
n
n
n
Data
n Warehousing and Lakehouse solutions
n
ETL/ELT
n pipelines
n
Data
n quality and governance frameworks
n
AI
n initiatives
n
n
n
n
Partner
n with architects to drive scalable, secure, and cost-effective solutions.
n
n
Financial
n & Commercial Management
n
n
Manage
n contract commitments, resource utilization, and delivery KPIs.
n
Identify
n opportunities for account growth, service expansion, and value
n realization.
n
n
Risk
n & Quality Management
n
n
Establish
n delivery assurance practices.
n
Proactively
n identify programme risks, dependencies, and mitigation plans.
n
Ensure
n compliance with governance, security, regulatory, and audit requirements.
n
Drive
n continuous improvement across delivery processes and operational metrics.
n
n
People
n Leadership
n
n
Build,
n mentor, and lead high-performing Data Engineering teams.
n
Support
n hiring, onboarding, workforce planning, performance management, and career
n development.
n
Foster
n a culture of accountability, collaboration, innovation, and continuous
n learning.
n
n
n
Required
n Qualifications
n
n
12+




n years of IT experience with at least 5+ years managing large Data
n Engineering or Analytics programs.
n
Proven
n experience leading enterprise-scale data transformation initiatives.
n
Strong
n understanding of contemporary data architectures and cloud-native platforms.
n
Experience
n managing geographically distributed delivery teams.
n
n
n
Technical
n Expertise
n
Data
n Platforms
n
n
Microsoft
n Azure
n
Microsoft
n Fabric
n
Azure
n Data Factory (ADF)
n
Azure
n Synapse Analytics
n
SQL
n Server
n
Power
n BI
n
n
Data
n Engineering
n
n
Data
n Warehousing
n
Lakehouse
n Architecture
n
Data
n Modeling
n
ETL/ELT
n Frameworks
n
Data
n Governance
n
Data
n Quality Management
n
Performance
n Optimization
n
n
Delivery
n & Operations
n
n
Agile
n / Scrum
n
Azure
n DevOps / Jira
n
Release
n & Change Management
n
n
n
Essential
n Skills
n
n
Programme
n leadership
n
Executive
n stakeholder management
n
Client
n relationship management
n
Risk
n and issue management
n
Strong
n communication and presentation skills
n
Team
n building and people leadership
n
Negotiation
n and conflict resolution
n
Outcome
n ownership and execution excellence
n
n
n
Success
n Measures
n
n
On-time
n and on-budget programme delivery
n
Client
n satisfaction and CSAT improvement
n
Revenue
n and margin achievement
n
Delivery
n quality and defect reduction
n
Team
n engagement and retention
n
Adoption
n of engineering best practices
n
Continuous
n improvement and innovation outcomes
n
n
n

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