6 of 6 Stakeholder Engagement Jobs in Luton

work Experience producing and governing enterprise-level solution designs Strong understanding of enterprise architecture and security principles Experience working within large, complex organisations Excellent stakeholder engagement and communication skills Willingness to undertake occasional UK travel (1-2 times a quarter) JBRP1_UKTJ ...

dealing with user queries and providing system support. Good analytical and problem-solving skills. Strong attention to detail and data accuracy. Strong communication and stakeholder engagement skills. Desirable: Experience working with the TrueContext mobile working platform. Experience supporting integrations between business systems. Experience working with reporting tools such ...

optimisation models, simulation tools and decision‐support solutions that support key operational decisions across the airline. You will combine deep technical expertise with strong stakeholder engagement to solve complex operational challenges, influence strategic decisions and deliver measurable business impact. Key responsibilities include: Leading the architecture and delivery … colleagues in operations research techniques, conducting technical reviews and helping establish best practice across the organisation. Representing easyJet through industry events, academic partnerships and engagement with the wider optimisation community. Requirements of the Role WHAT WE'RE LOOKING FOR Expert knowledge of operations research, mathematical programming, simulation methodologies, stochastic ...

management. Monitoring and Reliability: Implement centralized logging, tracing, and proactive monitoring using AWS CloudWatch, Prometheus, Grafana, and ELK Stack to maintain strict uptime SLAs. Stakeholder Engagement: Act as an AWS container subject matter expert, delivering technical designs and guiding multi-disciplinary delivery teams. Key Requirements and Qualifications Active ...

statistical analysis to large, complex data sets. Translation of Business Problems – Convert business challenges into analytical frameworks and actionable solutions to improve decision‐making. Stakeholder Engagement – Manage project prioritisation, resource allocation and communication with internal stakeholders. Project Lifecycle Ownership – Lead the entire data‐science project lifecycle using advanced ...

machine learning, optimization techniques, and statistical analysis to large, complex datasets · Translate business problems into analytical frameworks and actionable solutions to improve decision making · Stakeholder engagement. Manage project prioritization, resource allocation, and stakeholder communication · Owning and leading the entire Data Science Project Lifecycle utilising an advanced knowledge level ...