Lotto New Zealand
HQ
Newmarket, Auckland, New Zealand
NZ Employees
200-300 estimate
Industry
lottery operator
NZ Presence
Headquarters in Newmarket, Auckland; nationwide operations with 1,140 retailers across New Zealand
AI Focus Areas
AI Maturity Evidence
Hiring contract Data Scientist for timeseries forecasting and financial modelling; Head of Data and Analytics leading advanced analytics/AI initiatives; AI proof-of-concept on Databricks for natural language processing; Behavioural analytics tool 'Mentor' enhanced with AI/Neccton for harm detection.
Transformation Opportunities
| Area | Opportunity | Impact | Complexity |
|---|---|---|---|
| Operations | AI-driven demand forecasting and jackpot optimisation using timeseries ML to predict sales and adjust jackpots dynamically | high | moderate |
| Customer Service | AI chatbots and NLP for handling inquiries, integrated with upgraded contact centre | medium | simple |
| Responsible Gaming | Enhance Mentor tool with advanced ML for real-time harm prediction across online/retail | high | moderate |
| Marketing | Personalised game recommendations and dynamic pricing via rec systems | high | moderate |
| Fraud Detection | ML anomaly detection on transactions and player behaviour | medium | complex |
Decision Makers
Jason Delamore
Chief Executive Officer
Leads overall digital transformation including EDGE; certified in Rapid AI Traction for leadership
Richard Wright
Head of Data and Analytics
Leads advanced analytics, data science, forecasting, and AI initiatives
Sarah Thirlwall
Chief Transformation and Technology Officer
Oversees tech projects like EDGE rollout and Project Frontier digital platforms
Tech Stack Signals
Competitive Landscape
Monopoly operator in NZ lotteries as Crown entity; pressure from incoming online casino licensing (2026) and need for digital innovation/harm minimisation to maintain government support and player trust; no direct competitors but global lottery peers adopting AI for personalisation/forecasting.
AIA Fit Assessment
- --NZ-based with full operations here
- --Adopting AI stage with contract hiring indicating capability gaps
- --Enterprise-level budget for tech investments
- --Clear AI leadership and transformation projects
- --High-impact opportunities in core ops like forecasting and personalisation
Hiring Signals
Total Roles
1
Remote
No
Levels
mid
Skills Sought
Company Timeline
First tracked
Engagement Angle
Your recent EDGE rollout and Data Scientist hire signal a push to data-driven operations—let AIA help scale sustainable AI for jackpot forecasting and personalised experiences to drive revenue while strengthening harm minimisation.
Recommended AIA Service
Data Platform Build