Experience

Architecture, delivery, operations, capacity planning and financial forecasting for shared data platforms and infrastructure.

• Own platform strategy across AWS cloud, Kubernetes, Snowflake, observability, service desk and central operations capabilities.
• Support globally distributed Data, Analytics, AI and ML engineering teams through reusable services and clear operating models.
• Drive self-service patterns using Terraform, GitHub, Jenkins, Argo CD, Cloud Custodian, Steampipe and service management workflows.

Leadership of a major Snowflake estate spanning operational data warehouse, operational data store and enterprise data warehouse use cases.

• Design isolated self-service database areas so product teams can move independently without weakening central governance.
• Balance performance, security, cost and platform reliability across analytics and operational workloads.
• Create governance, observability and capacity disciplines that make growth predictable instead of reactive.

Service management, incident response, operational reporting, observability and customer-facing support for platform teams.

• Integrate Jira Service Management, Slack, BigPanda, xMatters, Datadog, Grafana, Loki and Prometheus into a coherent support model.
• Translate operational signals into executive reporting, prioritisation and platform improvement plans.
• Use runbooks, ownership maps and service catalogues to reduce tribal knowledge and escalation friction.