Title: People Data Governance & Architecture Lead
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 People Data Governance & Architecture Lead, you will play a pivotal role in shaping the future of trusted people data at One NZ. In this 12-month fixed term opportunity, you will lead the development of our people data strategy, governance and architecture, helping to simplify a complex data landscape and build a more connected, scalable foundation for the Future of Work.
Working across People, Technology and the wider business, you will define the standards, ownership and controls that make people data reliable, consistent and ready for what is next. This is an exciting role for someone who enjoys turning complexity into clarity, improving data quality and enabling future AI, automation and optimisation opportunities that will help One NZ grow, lead and plan for the future.
Ko tō mahi – what you’ll do
- Develop & implement a People Data Strategy and roadmap, defining our target state data architecture and standards along with assessing our current people data assets, systems and workflows.
- Establish people data governance frameworks & lifecycle management, implement data quality controls and improve consistency and reliability of workforce data
- Establish clear data ownership, standards and controls for all job and employee data
- Assess organisational readiness for AI enabled workforce capability from a people data perspective, defining requirements for structured, trusted & scalable workforce data
- Create the people function’s Data Products; design and structure people data to support future AI capability, identify and prioritise high value automation and analytic opportunities
- Partner across the business to build organisational understanding of people data governance and security.
Na tōu rourou - what you’ll bring
- Strong understanding of data architecture and complex environments
- Experience developing or implementing data strategy and governance frameworks for Privacy-sensitive or compliance-controlled data.
- Ability to define clear data ownership, standards, controls, and data quality practices
- Confidence working across People, HR, Technology and wider business teams to connect data, process and systems
- Experience identifying opportunities for data optimisation, automation and future AI readiness
- Strong analytical skills, with the ability to work with data, systems and reporting to improve insight and consistency
- Clear stakeholder communication skills, with the confidence to influence, simplify complexity and build alignment
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.
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.
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