Technical Project Manager

Silicon Quantum Computing Pty Ltd; Sydney; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Professional development opportunities

Employee assistance program

Parental leave

Job summary

Atturra is seeking a Technical Project Manager (Cantonese language proficient) to lead end-to-end AI, data, integration and digital product delivery for enterprise clients in Sydney. The role spans problem definition, MVP and scale, overseeing data pipelines, ML models, and MLOps workflows with senior stakeholders.

You will coordinate diverse teams—data engineers, ML/data scientists, software engineers, product and UX—ensuring timely, value-driven outcomes in ambiguous environments with evolving

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.
• 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.

Responsibilities

• 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, trade-offs, delivery timelines and resourcing.
• Manage quality, technical debt and production readiness.
• Run delivery across discovery, MVP, and scale phases.
• 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, limitations, iterative delivery, experimentation, data readiness and quality risks.
• Build trusted relationships with senior business and technology leaders.
• Lead delivery in environments involving data pipelines and 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 realities of AI delivery: non‑deterministic outputs, data quality and availability risks, model performance trade‑offs, ongoing monitoring and iteration post‑launch.
• Own delivery financials including resourcing, phasing, margin and burn management, balancing speed vs quality, scope vs impact, experimentation vs delivery certainty.
• Drive solutions towards adoption, measurable business impact and scalable production outcomes.

Skills

Cantonese language proficiency

Technical project management

Cross-functional leadership

Client-facing experience

Job description

Technical Project Manager (Cantonese Language Proficient) – Atturra

We are looking for a 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.

Key Responsibilities

• 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, trade-offs, delivery timelines and resourcing.
• Manage quality, technical debt and production readiness.
• Run delivery across discovery, MVP, and scale phases.
• 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, limitations, iterative delivery, experimentation, data readiness and quality risks.
• Build trusted relationships with senior business and technology leaders.
• Lead delivery in environments involving data pipelines and 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 realities of AI delivery: non‑deterministic outputs, data quality and availability risks, model performance trade‑offs, ongoing monitoring and iteration post‑launch.
• Own delivery financials including resourcing, phasing, margin and burn management, balancing speed vs quality, scope vs impact, experimentation vs delivery certainty.
• Drive solutions towards adoption, measurable business impact and scalable production outcomes.

Working Conditions

• Full time permanent opportunity
• Based in Sydney

What you’ll bring

• 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.

Culture and Benefits

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.

Our culture is reflected by our employees who demonstrate camaraderie, innovation, dedication, respect and excellence in everything they do.

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.

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