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

nn n
- Data
n Warehousing and Lakehouse solutions

n
- ETL/ELT
n pipelines

n
- Data
n quality and governance frameworks

n
- AI
n initiatives

n
nnn
- 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