Head of AI & Data Engineering
One NZ is hiring a Head of AI & Data Engineering in Auckland, New Zealand. Level rates it ; you can apply on One NZ.
Level's read on this job
- Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
- The posting mentions RAG and AI safety among its tools and skills.
- Level classes it as an executive role.
- One NZ has 20 other open roles on Level.
- Posted within the past two weeks.
AI in this role
He aha ai tātou – Why us?
At One NZ we’re not just imagining the future, we’re building it. Our purpose? A better-connected Aotearoa New Zealand. Kia renarena te taukaea i Aotearoa New Zealand.
Our ambition? To become the most AI-enabled telco on the planet. This isn’t just about our technology, It’s about you. We’re investing in our people like never before.... empowering them to grow, lead, and shape what’s next.
Through our AI School, access to world-class learning platforms, or career pathways that evolve with you, we create an environment where your curiosity thrives, and your skills accelerate.
Join us and be part of something extraordinary: connect with purpose and help redefine what’s possible.
Uia mai koe te pātai, he aha te mea nui o tēnei ao? Māku koe e ki atu he tangata, he tangata, he tangata.
“If you asked me, what is the greatest thing in this world, I would say it is people, it is people, it is people.”
Ko tō tūranga – your role
As Head of AI & Data Engineering, you’ll lead the engineering capability that turns One New Zealand’s AI and data ambitions into secure, scalable and production-ready solutions. Leading our AI Solution Engineering, Data Engineering and AI/Data Platform Engineering teams, you’ll have end-to-end accountability for taking AI and data solutions from technical discovery and architecture through to build, production and ongoing operation.
This is a pivotal leadership role at the heart of how One NZ builds and scales AI. You’ll set the standard for engineering excellence, develop reusable AI and data platforms, and create faster, safer pathways from idea to production.
Working alongside Product, Technology Engineering, Architecture and transformation teams, you’ll build strong internal engineering capability and ensure our people, platforms and practices enable One NZ to innovate responsibly, operate reliably and deliver AI and data solutions at scale.
Ko tō mahi – what you’ll do
- Lead AI Solution Engineering, Data Engineering and AI/Data Platform Engineering, building a high-performing, AI-native engineering capability.
- Set and continuously raise engineering standards across AI, data and software, including architecture, security, testing, CI/CD, observability and operational readiness.
- Own the technical roadmap and engineering quality of AI and data platforms, creating scalable, reusable foundations that accelerate delivery across One NZ.
- Establish effective pathways to take AI and data solutions from discovery and prototype through to secure, reliable and scalable production.
- Ensure trusted, governed and timely data through strong data engineering practices, including pipelines, data products, quality, lineage and access.
- Build and develop engineering leadership and capability, strengthening succession, performance and internal expertise while reducing dependency on external partners.
- Drive engineering efficiency and platform economics through greater reuse, self-service, effective build/buy/partner decisions and disciplined management of technology costs.
- Partner across Product, Technology, Architecture and transformation teams to remove delivery barriers and ensure clear end-to-end accountability for reliability, security, privacy and Responsible AI.
Na tōu rourou - what you’ll bring
- Proven senior leadership experience within a multidisciplinary engineering environment, with a track record of leading leaders, building high-performing teams and developing organisational capability.
- Deep technical expertise across cloud and modern software engineering, including distributed systems, APIs, DevSecOps, CI/CD, automated testing, infrastructure as code, SRE and observability.
- Strong understanding of modern AI engineering and architecture, including LLMs, RAG, agentic systems, orchestration, evaluation, guardrails and AI lifecycle management.
- Strong data engineering expertise, spanning data pipelines and products, batch and streaming, data quality, lineage, governed access and platform modernisation.
- Demonstrated experience taking complex technology solutions from discovery and architecture through to secure, reliable and scalable production.
- Strong commercial and engineering judgement, with the ability to balance security, privacy, Responsible AI, reliability, cost and build/buy/partner decisions.
- Ability to operate effectively between enterprise strategy and deep technical detail, translating business priorities into clear technology and engineering outcomes.
- An influential communicator and collaborator, comfortable engaging executive leaders, technical specialists and cross-functional teams to drive decisions and deliver change.
Nā mātou te rourou – what you’ll get
- One New Zealand is leading the way by ensuring you can have a truly balanced life. Most roles allow flexibility to work from home and flex your hours to enjoy work & whānau commitments.
- A fully subsidised Southern Cross health insurance cover for you and your family.
- Lifestyle leave, giving you the option to purchase an extra week or two of annual leave.
- Discounts on One New Zealand products, services and much more!
We are proudly Rainbow Tick certified and champion diversity of thought, perspective and background. Joining our whānau is more than starting a new job - it’s the beginning of a journey that will challenge and inspire you to play a role in something bigger.
Tū hikitia rā, tū hāpainga. Tū hāpainga, tū hikitia rā.
We stand to uplift, to support and to elevate others.
#LI-ED1
How we rate this
Head of AI & Data Engineering at One NZ rates 19 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you think about the risk of an AI system in this kind of role failing silently?
Adapt your resume
- List these exact terms on your resume: RAG and AI Safety. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. You get your review by email within 24 hours.
Get new data engineer jobs by email
One email a week with the new data engineer jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step