Data and Information Lead at University of Auckland

Auckland, Auckland, New Zealand -

Full Time

Start Date

Immediate

Expiry Date

23 Apr, 26

Salary

171000.0

Posted On

23 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Data Governance, Data Migration, Finance Transformation, ERP Implementations, Data Mapping, Data Modelling, Data Cleansing, Data Reconciliation, Stakeholder Engagement, Communication Skills, Problem-Solving, Quality Assurance, Continuous Improvement, Tertiary Qualification, Technical Skills

Industry

Higher Education

Description

Company Description Waipapa Taumata Rau | The University of Auckland The University of Auckland is Aotearoa’s leading university with 9,000 staff supporting more than 46,000 students to achieve their ambitions. As one of New Zealand’s most enduring brands, the University leads the way in teaching excellence and research positively impacting the lives of its people, communities and society at large. Job Description Te Whiwhinga mahi | The opportunity 12-Month fixed-term opportunity As Data & Information Lead, you will play a critical role in the University of Auckland’s multi‑year Finance Transformation Programme, one of the most significant change initiatives currently underway in the organisation. This programme is reshaping finance from a largely transactional function into a strategic, insight‑driven partner, enabled by a new finance platform, redesigned processes, and a modern operating model. In this role, you will define and deliver the data strategy, governance framework, migration approach, and technical architecture that underpin the programme’s data workstream. You will lead data migration from legacy systems through to post‑go‑live operations, ensuring data integrity, quality, security, and long‑term fitness for purpose. Working across finance, technology, and programme teams, you will enable trusted data for reporting, analytics, and decision‑making, while embedding strong data ownership and stewardship practices. Key responsibilities include: Leading data strategy, governance, and ownership models across finance systems and business domains. Designing and executing large‑scale finance data migration, including mapping, cleansing, validation, reconciliation, and cutover readiness. Defining target‑state finance data models and master data structures (e.g. chart of accounts, projects, employees). Ensuring data quality, security, and compliance throughout the programme lifecycle and into business‑as‑usual operations. Partnering with business, technology, and integration teams to ensure data integrity across interfaces and reporting solutions. Supporting testing phases (SIT, UAT), defect resolution, and post‑implementation data stability. This is a 12-Month fixed term, full-time role (37.5 hours per week, Monday to Friday) with a salary range of $165,000 - $171,000 per annum, depending on experience. For more information, please see Position Description He kōrero mōu | About You You are an experienced data and information professional who has led or been deeply involved in large‑scale finance transformation or platform migration programmes. You bring a strong grasp of finance data, confidence working across complex stakeholder environments, and the ability to balance strategic thinking with hands‑on delivery. You will bring: Proven experience (5+ years) in data architecture, governance, or migration, ideally within finance transformation or ERP/EFP implementations. Hands‑on expertise in finance data mapping, modelling, cleansing, and reconciliation, with a strong eye for detail and data integrity. Experience working through full programme lifecycles, including testing, cutover, and post‑go‑live stabilisation. Strong stakeholder engagement skills, with the credibility to work across finance, IT, integration, analytics, and programme delivery teams. Excellent written and verbal communication skills, able to translate complex data concepts for technical and non‑technical audiences. A structured, methodical approach to problem‑solving, with a commitment to quality, governance, and continuous improvement. A relevant tertiary qualification in data, information systems, finance, or a related discipline; sector experience or formal certifications are advantageous but not essential. What we offer | Ngā āhuatanga kei a mātou We offer you more than just a job. We offer you the opportunity to be part of a dynamic, world-class educational institution. We provide benefits and support throughout your career to help you develop and grow. In addition, we offer career development programmes, discounted car parking, on-site childcare options, leisure and recreation facilities, and a number of other discounted products and services. For more information, please visit Staff Benefits. Hear more about making Worlds of Difference in your career at the University, our partnership with Māori, our Te Ao Māori principles, our impact, our staff and life in Auckland on our careers website Additional Information Me pēhea te tuku tono | How to apply Applications should be submitted on our website, before Sunday 8th February, 2026 to be considered. Please include your cover letter and your CV highlighting how you can meet the skills and experiences detailed above. Please note we are happy to answer your questions, but we do not accept applications by email. Equity The University is committed to meeting its obligations under the Treaty of Waitangi and achieving equity outcomes for staff and students in a safe, inclusive, and equitable environment. For further information on services for Māori, Pacific, women, LGBTQIATakatāpuiMVPFAFF+, people with disabilities, parenting support, flexible work and other personal circumstances go to www.equity.auckland.ac.nz Campus: Auckland City Campus Position Number: 60011961 UoA Department Name: Automation & Process Improve

Responsibilities

Lead the data strategy and governance framework for the Finance Transformation Programme. Ensure data integrity and quality during migration and post-implementation phases.