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Manager – ai & automation delivery lead

Sydney
Accenture Australia
Posted: 31 December
Offer description

1 week ago Be among the first 25 applicants

About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 791,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™. Join Accenture to work at the heart of change. Visit us at www.accenture.com


Overview

As a Manager – AI & Automation Delivery Lead, you will manage the day-to-day delivery of AI-first solutions across the ANZ region, blending strong technical depth with delivery leadership. You’ll oversee the development and deployment of scalable AI, full-stack, and automation solutions, driving adoption of Generative AI, AI Ops, and modern engineering practices. This role requires a balance of hands‑on technical capability and leadership skills to ensure successful outcomes.


Responsibilities

* Manage delivery workstreams for AI-led programs, embedding automation where it drives efficiency and value.
* Lead the design, build, and deployment of AI‑enabled, full‑stack applications leveraging cloud‑native services and modern frameworks.
* Implement AI Ops, ML, Data Ops, and automation capabilities, ensuring alignment to architectural standards and delivery excellence.
* Drive adoption of Generative AI use cases through pilots, proofs‑of‑concept and scalable implementations.
* Collaborate with cross‑functional teams—data engineers, developers, architects, and business stakeholders—to deliver end‑to‑end solutions.
* quality assurance, documentation, and deployment best practices are met across workstreams.
* Mentor and guide junior engineers, consultants, and developers to strengthen the team’s AI and engineering expertise.


Skills & Qualifications

* 5–8 years delivering solutions in AI, Data Ops, Automation, and Full‑Stack Development.
* Hands‑on coding and solution delivery with Python, Java, or .NET.
* Experience in front‑end frameworks (React, Angular, or equivalent) and API development.
* Expertise in AI/ML pipelines, cloud platforms (Azure, AWS, GCP), and containerization (Docker, Kubernetes).
* Demonstrated experience in deploying AI‑led solutions (e.g., Generative AI, LLMs, AI Ops).
* Strong track record in managing delivery quality, project execution, and cross‑functional collaboration.
* Excellent communication and stakeholder engagement, with the ability to bridge business requirements and technical execution.


Equal Employment Opportunity Statement for Australia and New Zealand

At Accenture, our intention is to foster a culture and a workplace in which all of our people feel a sense of belonging and are respected and empowered to do their best work. We encourage applications from all people with the relevant skillset, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require any accommodations or adjustments for interviews and/or at work, please reach out to exectalent@accenture.com or contact us at +61 2 9005 5000 (Australia) or +64 44666056 (New Zealand). Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement.

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