milton keynes, south east england, United Kingdom Hybrid / WFH Options
Digital Waffle
Architecture & Strategy Define and maintain the current and future GIS architecture. Develop transitional roadmaps aligned with business and IT strategy. Collaborate with senior IT leadership to shape and execute the GIS strategy. Evaluate emerging GIS technologies and methodologies to enhance capabilities. Enterprise IT Governance & Standards Establish governance models, GIS … digital infrastructure. Ensure seamless data exchange between GIS, network inventory, and business systems. Work with vendors and system integrators to optimise GIS implementations. Technical Leadership & Innovation Act as the technical authority for GIS architecture. Provide thoughtleadership on geospatial data modelling, software development, and cloud computing. Ensure … taxonomical GIS data structures. Reverse Engineering Legacy GIS Systems – Modernising outdated geospatial applications. Fibre Network Design – Understanding of GIS applications in telecom infrastructure. Project Leadership & Business Engagement Experience leading large-scale GIS integration projects in telecommunications or utilities. Ability to translate technical concepts into business insights. Vendor & Supplier Management More ❯
consistency and risk reduction, e.g. TOGAF, SAFe and system development lifecycles e.g. waterfall, agile, DevOps & DevSecOps. Ability to build trust and respect as a 'thought leader' who can influence and when appropriate persuade technology and business leaders. To be motivated by leading and driving the team to deliver upon More ❯
reference data, metadata, and optimized data pipelines across processes and systems. Collaborate with market analysts, vendors, and partners to identify technological opportunities, and provide thoughtleadership on Data Strategy and related topics. What you'll need Experience with GIS operating models and frameworks such as ITIL, SAFe, DevSecOps. … science tools. Proficiency in SQL, C#, Python, and AI is highly desirable. Strong understanding of data delivery, data science, data quality, and security practices. Leadership responsibilities: Manage team capabilities, contribute to profit and loss, and develop team members. Own relationships with senior stakeholders, translating technical concepts into business language. More ❯