Technical Project Manager - Data & AI

What you’ll be doing

We are looking for Technical Project Manager to lead the delivery of complex AI, data, integration and digital products for enterprise clients. This is not a traditional IT project management role. You will operate at the intersection of product, engineering, data science, systems integration and business, owning delivery from early problem definition through to production deployment and scale. You will lead multi-disciplinary teams, work directly with senior client stakeholders, and navigate the unique challenges of AI, Data & Integration delivery, including data dependency, experimentation cycles, and evolving solution scope.

If you thrive in ambiguous environments, enjoy solving hard problems, and care about real business outcomes (not just shipping features), this role is for you.

The role of the Technical Project Manager is to take overall responsibility for total end to end project execution, including:

•    Own end-to-end delivery of AI, data, and automation solutions for enterprise clients
•    Lead cross-functional teams including: 
•    AI, Integration, Data engineers
•    Software engineers
•    ML engineers / data scientists
•    Product and UX
•    Translate business problems into structured, sequenced delivery plans
•    Manage: 
•    Scope, dependencies, risks, and trade-offs
•    Delivery timelines and resourcing
•    Quality, technical debt, and production readiness
•    Run delivery across discovery, MVP, and scale phases

Key Responsibilities

Delivery Leadership

• Own end-to-end delivery of AI, data, and automation solutions for enterprise clients. Lead cross-functional teams including: 
  -    Data engineers
  -    ML engineers / data scientists
  -    Software engineers
  -    Product and UX
  •    Translate business problems into structured, sequenced delivery plans Manage: 
  -    Scope, dependencies, risks, and trade-offs
  -    Delivery timelines and resourcing
  -    Quality, technical debt, and production readiness
• Run delivery across discovery, MVP, and scale phases

Client & Stakeholder Leadership
Act as the day-to-day senior delivery lead for clients Lead: 
-    Steering committees
-    Executive updates
-    Planning and prioritisation sessions

•    Set and manage expectations around: 
-    AI feasibility and limitations
-    Iterative delivery and experimentation
-    Data readiness and quality risks
•    Build trusted relationships with senior business and technology leaders

AI & Data Delivery Excellence
•    Lead delivery in environments involving: 
-    Data pipelines and data platforms
-    ML models and LLM-based systems
-    Evaluation, testing, and iteration cycles
-    MLOps / deployment workflows
-    Human-in-the-loop systems
-    Governance, security, and compliance constraints
•    Proactively manage the realities of AI delivery: 
-    Non-deterministic outputs
-    Data quality and availability risks
-    Model performance trade-offs (accuracy, latency, cost)
-    Ongoing monitoring and iteration post-launch

Commercial & Outcome Ownership
•    Own delivery financials including: 
-    Resourcing and phasing
-    Margin and burn management
•    Balance: 
-    Speed vs quality
-    Scope vs impact
-    Experimentation vs delivery certainty
•    Drive solutions towards: 
-    Adoption
-    Measurable business impact
-    Scalable production outcomes

Working Conditions

• Full time permanent opportunity
• Based in Sydney 

What will make you succesful?

The position requires a highly motivated individual who can provide strong application skills, along with leadership, guidance and coaching abilities, to deliver quality focused outcomes.

•    8–12+ years in technical project, program, or delivery management
•    Proven experience delivering complex digital, integration, data, or AI-enabled systems
•    Experience leading multi-disciplinary technical teams
•    Strong client-facing experience in consulting or enterprise environments
•    Comfortable operating in environments with: 
-    Ambiguous scope
-    Evolving requirements
-    High technical complexity
-    Data and platform dependencies

Strongly Preferred
•    Experience delivering one or more of: 
-    AI / ML products
-    Data platforms
-    Decisioning or automation systems
-    LLM-powered or analytics-heavy systems

•    Strong understanding of: 
-    Modern data architectures
-    Cloud platforms (AWS, Azure, GCP)
-    Boomi, webMethods, Workato, Mule or Azure system integrations and APIs.
-    The ML / AI product lifecycle
•    Background in consulting, product-led SaaS, or large-scale transformation programs.

Why you’ll love working here

Culture of possibility 

At Atturra we embrace innovation within our teams, fostering an environment of possibility and growth. We believe in creating a supportive and welcoming culture, where everyone is encouraged to achieve success through collaboration, hard work and dedication.

A strong set of company values 

Our culture is reflected by our employees who demonstrate camaraderie, innovation, dedication, respect and excellence in everything they do. These traits have become integral to the way we do business and are the values we strive for. 

Valuable employee benefits 

• Career growth via succession planning, internal mobility programs, and mentorship opportunities.
• Ongoing investment in professional development through industry certifications.
• Employee benefits, recognition, and wellbeing platform.Mental health support through our Employee Assistance Program.
• Support for family and caring responsibilities, including paid parental leave.
• Employee referral program, with monetary incentives offered. 

Commitment to supporting Australia’s veterans  

Atturra is proud to be recognised as a Veteran Friendly Employer by the Department of Veterans Affairs’ Veteran Employment Commitment (VEC) and is committed to supporting Australia’s veteran community. We aim to enhance the employment experience for veterans by improving recruitment, support, retention, and leadership opportunities to ensure they have a meaningful and impactful career with us.   

Careers | Atturra

https://atturra.com/au-en/careers

Recruitment Agencies/Headhunters:

We got this covered. Our Talent Acquisition team is working on our hiring demands and will reach out should we need extra support. Atturra only accepts referrals from agencies on our official supplier list via Agency Portal. Agencies are required to go through our procurement process, have an approved fee agreement, and be invited to participate in hiring for a job opening by the Atturra Talent Acquisition team. Any profiles or referrals submitted outside of this process will be deemed invalid. We request that you do not contact Atturra employees outside of the Talent Acquisition team for any hiring-related queries. To become an official supplier, send an expression of interest via talentacquisition@atturra.com.  

Atturra is passionate about playing an active role in addressing the digital skills gap and being an advocate for diversity and Inclusion, and welcomes applications from all irrespective of their gender, LGBTQI identity, ethnicity, religion, physical ability, or age.