Posted 3mo ago
Pay
Not stated
Location
Auckland
On site
Skills this role screens for
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Still studying?Internships open nowAbout the role
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. We’re looking for a Category Management – Client Lead We are seeking a highly capable professional to strengthen our client’s category management capability and ensure teams are equipped to use customer data‑driven tools with confidence and precision. We are looking for someone who can lift capability, champion our tools and frameworks, and provide the guidance and support teams need to embed best‑practice category management. You will be the go‑to expert for data tools and the frameworks that underpin effective category decision‑making, acting as a trusted advisor, technical expert, and capability builder who helps teams make stronger, customer data‑driven decisions. Core Responsibilities: • Serve as the primary expert for dh tools, Power BI dashboards, and category management frameworks across the client. • Support teams to adopt and use tools effectively, ensuring both technical proficiency and confidence • Provide day‑to‑day guidance, issue resolution, and practical support to client teams • Embed key category management frameworks into business processes and decision‑making • Translate customer insights into clear, compelling stories with key outt
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Dunnhumby is a global leader in Customer Data Science, partnering with ambitious retailers and brands to utilize customer data for strategic decision-making. They combine deep insight, advanced technology, and close collaboration to help clients achieve growth, innovation, and measurable value. The company focuses on areas like loyalty, category management, and retail media, aiming to help businesses make better decisions faster through AI-driven science and decades of expertise.
The interview process for an Engineering Manager role is likely to be structured, evaluating both technical leadership and hands-on engineering capabilities. Given the company's size and global presence, it will involve multiple stages, focusing on problem-solving, architectural design, team management, and cultural fit.
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