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Data Platform Lead

Zuru
CompanyZuru
CategoryData & Analytics
LocationAuckland
RemoteOn-site (inferred)
EmploymentNot stated
LevelLead
SalaryNot stated by the employer
Posted12 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (ashby)
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Description
Unify the data. Unlock the intelligence. Shape ZURU's future! ABOUT ZURU ZURU is on a mission to disrupt across industries, challenge the status quo and catalyst change through radical innovation and automation advances. This is in play in different pillars of the company: ZURU Toys are re-imagining what it means to play; ZURU Tech is shaping a better future by leading the next building revolution; ZURU Edge is pioneering new generation FMCG brands to better serve modern consumers. Founded in 2003 by EY Entrepreneur of the Year and World Entrepreneur Hall of Fame brothers Nick and Mat Mowbray, ZURU has quickly grown to a team of over 5000 direct and indirect members across more than 30 international locations. One of the largest toy companies in the world, globally recognised and award-winning brands include Bunch O Balloons, Mini Brands, XSHOT, Rainbocorns and Smashers. Our global FMCG brands include MONDAY Haircare, Rascals, NOOD, BONKERS, Gumi Yum Surprise, and more! For more information, visit www.zuru.com http://www.zuru.com. POSITION OVERVIEW Lead ZURU's data platform and products teams to deliver measurable business outcomes across Toys, Tech, and Edge divisions. You'll directly manage the Platform team (Databricks, AWS, Fivetran, orchestration) while driving the Data Products team to ship weekly value to the ZURU. You ship in weeks not months, measure impact not dashboards, enable teams to self-serve, and kill what doesn't work. POSITION IMPACT - First 2 weeks: Assume platform ownership (Databricks migration in-progress, AWS SSO, Fivetran connectors). Understand products roadmap (dashboards, pipelines, stakeholder needs). Identify top 3 business blockers. - First month: Ship 1-2 quick wins. Establish weekly ship report cadence with teams. Directly manage Platform team's immediate priorities. Build relationships with key stakeholders across the business. - First quarter: Data Products team shipping measurable weekly value (time saved, decisions improved, not just dashboards). Platform team has dev/prod separation complete and Databricks migration stabilized. You've made 30+ fast decisions, gotten 20+ right, learned from the rest. Federated model operating: platform provides paved roads, domain teams self-serve. - By month six: Data Products team recognized by BU stakeholders as high-impact partner. Platform infrastructure stable and governed (99.5%+ uptime). You own Databricks/AWS/Fivetran deeply enough to mentor Platform team members. You've killed 2-3 low-impact initiatives and doubled down on what works. Composable data stack in place and budling tu support ZURU’s data and AI ambitions. ROLES & RESPONSIBILITIES - Lead Data Teams Toward Business Outcomes – You own the Data Platform team end to end, including core infrastructure such as Databricks lakehouse, Fivetran connectors, AWS SSO, and orchestration. You are expected to stay hands-on with architecture decisions, code and design reviews, and technical mentorship. The goal is to ensure the platform enables true self-service and never becomes a bottleneck. - Drive Federation, Not Centralisation – The platform team provides shared capabilities such as the lakehouse, governance, and paved roads, while business unit teams own their own data products, dashboards, and analytics. Clear boundaries are critical: platform owns integration layers like connectors and APIs, while BU teams own operational definitions, schemas, and domain understanding. The aim is to enable at least 80% self-service across business units. - Ship Incrementally, Learn Fast – Work in short cycles and default to MVP delivery within 2 to 3 weeks rather than long, complex roadmaps. Validate with one business unit first before scaling to others. Actively stop initiatives that do not demonstrate measurable impact within 4 to 6 weeks. Operate with a strong bias for rapid, reversible decisions, prioritising speed and learning over perfection. - Measure Impac
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