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Support programme delivery through status reporting, dashboards, schedule and dependency tracking, RAID log maintenance, financial forecasting and reconciliation, risk and issue tracking, governance documentation, resource reporting, and PM tool maintenance. Produce steering committee materials, standardise templates, assist audits, and drive reporting automation and lessons-learned activities.

The Director of Sales and Operations manages site operations, develops sales strategies based on analytics, ensures contract compliance, and oversees P&L management.

Lead instant ticket pricing, forecasting, and budgeting; run RFP pricing and bid recommendations; model and monitor printing capacity and utilization; develop pricing structures and competitive intelligence; partner with sales, operations, and finance; perform post-bid analysis and present recommendations to commercial leadership.

Coordinate and support implementation of lottery retail technology: manage contractors, prepare pre-install documentation, create training materials, deliver demos and Train‑the‑Trainer sessions, provide high‑tier field support, and liaise with internal teams to ensure product functionality and quality standards are met.

The Systems Support Manager coordinates technical solutions between the Lottery and internal teams, focusing on configuration, integration, testing, support, and operational management across systems and environments.

The Lead Technical Support Engineer provides comprehensive technical support, supervises team members, and mentors less experienced staff, ensuring efficient troubleshooting and repairs of complex systems.

Serve as a technical Business Analyst and solution SME bridging stakeholders, operations, and development. Lead requirements definition, author SRS and user stories, manage JIRA traceability, validate design and integrations, identify technical risks, support UAT and production readiness, and provide post-launch support in complex lottery systems.

Founding Staff Data Scientist to build decision science from the ground up: design and deliver forecasting, optimization, experimentation, personalization, and recommendation systems; establish modeling standards, validation and deployment playbooks; mentor data scientists and integrate reusable decision workflows with the ML platform.

Develop, maintain, and support a high-speed transaction engine handling thousands of POS terminals. Design, code, test, debug, participate in requirements and code reviews, troubleshoot production issues, estimate work, and implement new features. Collaborate with team members and follow development best practices.

Design and build the organization's first ML platform: define architecture and roadmap, create self-service deployment frameworks, enable model registry, feature retrieval, inference routing, observability, and safe rollout workflows; mentor engineers and partner with Data Science to drive platform adoption and developer productivity.