Build and deliver tailored ServiceNow demonstrations and proof-of-value environments that show the solution working against the customer's own scenarios
Lead complex solution design and technical engagement by facilitating client workshops, demonstrations and solution discussions with client teams and Experian specialists. Develop tailored solutions encompassing Python or R modelling, automated ModelOps deployment, real-time decision engines and native generative AI capabilities, supported by technical proposals, architecture blueprints, data-flow diagrams and RFP or RFI responses.
Lead complex solution design and technical engagement by facilitating client workshops, demonstrations and solution discussions with client teams and Experian specialists. Develop tailored solutions encompassing Python or R modelling, automated ModelOps deployment, real-time decision engines and native generative AI capabilities, supported by technical proposals, architecture blueprints, data-flow diagrams and RFP or RFI responses.
The ideal candidate combines strong Data Engineering fundamentals with the ability to work closely with business stakeholders, develop reporting solutions, and contribute across multiple data-related initiatives. Exposure to Data Science and AI use cases is considered an advantage.
Monitoring & Observability: Implement, configure, and manage cloud monitoring, logging, and performance diagnostic tools (e.g., AWS CloudWatch, Datadog, Prometheus, Grafana) to ensure system health and reliability.
Collaborate proactively and transparently with internal stakeholders (Operations, Customer Experience, Training, etc) to optimize the customer experience.