General Manager - Data Transformation at The Warehouse Group

Kaipātiki, Auckland, New Zealand -

Full Time

Start Date

Immediate

Expiry Date

30 Dec, 25

Salary

0.0

Posted On

01 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Strategy, Data Governance, Advanced Analytics, Leadership, Stakeholder Management, Cloud Architecture, ERP Transformation, Team Building, Cross-Functional Leadership, Commercial Acumen, Data Literacy, Data Quality, Data Migration, Data Cleansing, Data Integration, Data-Driven Decision Making

Industry

Retail

Description

Company Description The Warehouse Group (TWG) is woven into the fabric of Kiwi life. As New Zealand’s largest general merchandise retailer, our brands—The Warehouse, Warehouse Stationery, and Noel Leeming—serve millions of customers every year. We are at an exciting new phase of transformation. The retail world is changing faster than ever, and being responsive, commercially astute, and customer-led is at the heart of our strategy. Agility and collaboration are cornerstones of our work culture, empowering us to adapt swiftly and work seamlessly together. We are intentional about placing the right people in the right roles, allowing us to perform work that truly makes a difference. We’re in the midst of a transformation, reimagining retail through digital innovation, customer-first thinking, and enterprise-wide systems change. At the heart of this journey is data—trusted, timely, and intelligent. That’s where you come in. We are searching for a visionary General Manager – Data Transformation to lead our enterprise-wide data evolution. This is a pivotal role, responsible for shaping the strategy, governance, and delivery of data capabilities that power our Oracle Retail and Supply Chain transformation. Job Description Based at our Auckland Support Office and reporting into the Chief Digital Transformation Officer, you will be the strategic bridge between business process, technology enablement, and intelligent automation ensuring our data is fit-for-purpose to drive real-time operations, smarter decisions, and future-ready innovation. The data transformation program spans the full TWG ecosystem — this is a whole-of-business, end-to-end initiative, with deep integration across all operating units and support functions. Key responsibilities include: Data Strategy & Architecture – lead the development and execution of TWG’s enterprise data strategy, ensuring alignment with Oracle transformation goals. Oversee the modernisation of scalable, secure cloud-native platforms and govern architecture to support master data, real-time flows, and seamless integration Data Governance & Readiness - Drive enterprise-wide data cleansing, migration, and governance to enable Oracle implementation. Establish robust master data management and stewardship practices, embedding data quality ownership across business units. Advanced Analytics - Identify and deliver high-impact analytics use cases across forecasting, pricing, inventory, and personalisation. Lead technical teams to ensure scalable solutions and maintain strong governance around model performance and transparency. Leadership & Capability Building - Build and empower high-performing teams across engineering, analytics, and governance. Champion data literacy and self-service across TWG, fostering a culture of confident, data-led decision making Stakeholder & Change Management - Partner with senior leaders across Transformation, Technology, Finance, and Business Units to embed data into strategic conversations. Communicate progress and risks clearly at executive and board levels, supporting change initiatives that make data central to TWG’s culture. Qualifications You’re a strategic thinker with deep technical expertise and commercial acumen. You thrive in complexity, inspire cross-functional teams, and translate data into business impact. What you will bring: Extensive Data Leadership - Over 10 years in senior data roles, ideally within retail, supply chain, or customer-focused environments, with a proven track record of leading large-scale data platform transformations. ERP Transformation Experience - Hands-on experience enabling or partnering with enterprise ERP implementations - Oracle preferred, ensuring data readiness and alignment across systems. Cloud & Architecture Expertise - Deep knowledge of cloud-native data platforms (e.g. Azure, Snowflake, GCP), data architecture, and scalable infrastructure to support enterprise-wide analytics. Strategic & Commercial Acumen - Ability to link data strategy to business outcomes, with strong domain knowledge across product, customer, inventory, and pricing data in retail and supply chain contexts. Executive Influence & Global Perspective - Executive presence with the ability to influence at all levels, including Board. Experience leading multi-region data transformations and applying data product thinking to unlock internal value. Team Building & Cross-Functional Leadership - Demonstrated success in building and leading high-performing, cross-functional teams across engineering, analytics, and governance disciplines. Additional Information As a senior leader within The Warehouse Group, you’ll have the opportunity to shape the future of retail in New Zealand. The impact of this role is significant – 98% of New Zealanders shop with us – meaning your expertise and influence will shape how data drives our business, our culture and our customer experience. You’ll be part of a business in transformation, one that values innovation, bold thinking, and leadership that inspires change. In return, we offer the platform, scale, and resources for you to make a tangible difference in one of New Zealand’s most recognised and trusted retail brands. Apply now and lead the data transformation that helps Kiwis live better every day.

Responsibilities

Lead the development and execution of TWG’s enterprise data strategy and oversee the modernization of scalable, secure cloud-native platforms. Drive enterprise-wide data cleansing, migration, and governance to enable Oracle implementation.