Technical Project Manager - Data & AI

Atturra; Sydney; On-site; AUD 140,000 - 190,000; Full time

Benefits offered by this job

Career growth via succession planning,

Mentorship opportunities

Mental health support via EAP

Paid parental leave

Employee referral program

Job summary

Atturra in Sydney is seeking a Technical Project Manager (Cantonese language proficient) to lead delivery of AI, data, integration and digital products for enterprise clients. This role sits at the intersection of product, engineering, data science, and business, owning delivery from problem definition to production deployment and scale.

You will guide multi-disciplinary teams, engage senior client stakeholders, manage scope and risks, and drive measurable business outcomes beyond feature

Qualifications

• 8–12+ years in technical project, program, or delivery management
• Must be proficient in Cantonese language
• Proven experience delivering complex digital, integration, data, or AI-enabled systems

Responsibilities

• 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 and production readiness
• Run delivery across discovery, MVP, and scale phases
• Act as day-to-day senior delivery lead for clients (steering committees, executive updates)
• Set expectations around AI feasibility, iterative delivery, data readiness and quality risks
• Build trusted relationships with senior business and technology leaders
• Lead delivery environments involving data pipelines, ML models, MLOps, governance and compliance

Skills

Cantonese language proficiency

Delivery management

Job description

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We are looking for Technical Project Manager (Cantonese Language Proficient) 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 clientsLead:

• 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
• Must be proficient in Cantonese language
• 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.

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.