Graphcore - Business Transformation Lead

• Lead complex transformation initiatives across multiple business domains, from discovery and problem definition through to implementation and embedding. • Define clear problem statements, scope, success measures and delivery approaches aligned to business priorities and operational goals. • Partner with senior stakeholders to align on outcomes, priorities, trade-offs and decision-making, building momentum across cross-functional programmes. • Analyse current processes, systems and data flows to identify root causes, inefficiencies, risks and opportunities for improvement. • Design scalable end-to-end business processes, operating models, governance approaches and controls that support effective execution. • Evaluate solution options, including process, system and data changes, balancing business value, technical feasibility, integration complexity and long-term maintainability. • Work hands-on with data, workflows and system requirements, using tools such as SQL, Python or low-code platforms to explore issues, validate assumptions, prototype ideasand support solution design. • Translate business needs into clear requirements, user stories, process maps, data definitions and acceptance criteria that enable efficient delivery. • Collaborate closely with technical teams to shape solutions, resolve design questions and ensure alignment across applications, integrations and data structures. • Support delivery through build, test and release activities, helping teams prioritise backlogs, clarify requirements and maintain focus on measurable outcomes. • Provide day-to-day guidance and support to business analysts working across transformation initiatives, helping to raise quality, consistency and delivery effectiveness. • Partner closely with a project manager to support planning, coordination, dependency management and execution across complex projects. • Define and track KPIs and other success measures to assess impact, inform decision-making and drive continuous improvement. • Lead change readiness activities, including adoption planning, documentation, knowledge transfer and transition into business-as-usual operations. • Establish and promote strong transformation and analysis practices, raising the quality of delivery across initiatives and supporting colleagues through coaching and practical guidance. • Candidate Profile • Candidate Profile • Essential • Experience leading complex, cross-functional business transformation initiatives involving systems, data and process change. • Proven ability to operate at both strategic and delivery levels, shaping direction while remaining close to the detail. • Strong stakeholder management and influencing skills, with the ability to build alignment across senior business and technical audiences. • Experience supporting or guiding other analysts and working closely with project or programme management to deliver complex change. • Experience defining target operating models, business processes, governance approaches and success measures. • Strong business analysis capability, including requirements management, process mapping, problem structuring and solution assessment. • Practical technical fluency in areas such as data analysis, systems thinking, integrations or automation. • Hands-on experience using tools such as SQL, Python or equivalent approaches to analyse data, test ideas or support solution development. • Ability to work effectively in ambiguity, turning complex problems into clear, actionable plans. • Experience partnering with delivery teams across build, testing, rollout and adoption phases. • Strong written and verbal communication skills, with the ability to adapt messages for different audiences. • Desirable • Experience in a high-growth or technology-led environment. • Experience working across enterprise domains such as Finance, People, IT or business operations. • Familiarity with SaaS implementation, vendor selection or process automation initiatives. • Experience with data governance, data quality improvement or migration activities. • Familiarity with cloud-based platforms and modern enterprise application ecosystems. • Experience using AI-assisted tools or approaches to improve analysis, delivery or operational effectiveness.