Head of AI, Data Engineering

One New Zealand

. Lead AI Solution Engineering, Data Engineering and AI/Data Platform Engineering .

Posted 10/20/2026full-timeNew ZealandLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates deep technical expertise in AI and data engineering, with a strong focus on building high-performing teams and establishing engineering standards across platforms. Capable of translating business priorities into technology outcomes while ensuring security, reliability, and scalability.

Highest-signal resume keywords

AI Engineering LeadershipData Engineering ExpertiseCloud Engineering ProficiencyDevSecOps KnowledgeInfluential Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI ArchitectureData PipelinesDistributed SystemsInfrastructure As CodeAutomated TestingCI/CDSREObservabilityLLMsRAG

Soft Skills

Team BuildingOrganizational Capability DevelopmentInfluential CommunicationCollaboration

Industry Keywords

Responsible AIData QualityData LineageGoverned AccessPlatform Modernisation

Tech Stack

Tools & technologies

CloudDistributed Systems

About the role

Key responsibilities & impact

Lead AI Solution Engineering, Data Engineering and AI/Data Platform Engineering
Build a high-performing, AI-native engineering capability
Set and 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
Create scalable, reusable foundations that accelerate delivery across One NZ
Establish 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 pipelines, data products, quality, lineage and access
Build and develop engineering leadership and capability, strengthening succession, performance and internal expertise
Drive engineering efficiency and platform economics through reuse, self-service, build/buy/partner decisions and technology cost management
Partner with Product, Technology, Architecture and transformation teams on reliability, security, privacy and Responsible AI

Requirements

What you’ll need

Proven senior leadership experience within a multidisciplinary engineering environment
Track record of leading leaders, building high-performing teams and developing organisational capability
Deep technical expertise across cloud and modern software engineering
Knowledge of 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
Experience taking complex technology solutions from discovery and architecture through to secure, reliable and scalable production
Strong commercial and engineering judgement
Ability to balance security, privacy, Responsible AI, reliability, cost and build/buy/partner decisions
Ability to translate business priorities into clear technology and engineering outcomes
Influential communication and collaboration skills with executive leaders, technical specialists and cross-functional teams

Benefits

Comp & perks

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
Rainbow Tick certified and diversity-focused workplace