About us
Graphcore is one of the world's leading innovators in Artificial Intelligence compute. We develop hardware, software and systems infrastructure that unlock the next generation of AI breakthroughs and enable the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, we are part of a network of companies building some of the world's most transformative technologies. Together, we share an ambitious vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Our teams bring together diverse perspectives across AI research, silicon design, software engineering and systems architecture. We combine deep expertise with a practical, collaborative approach to solving complex problems and turning ideas into real-world impact.
Job Summary
Reporting to the Head of Data & Transformation, the Business Transformation Lead is a senior individual contributor responsible for shaping and delivering complex, cross-functional change across systems, data and business processes. This role leads high-impact transformation work from discovery through implementation, combining strategic thinking with hands-on execution to improve how Graphcore operates and scales.
Operating across business and technology domains, you will translate ambiguity into clear direction, define target outcomes, assess solution options and work closely with delivery teams to implement change. You will also provide guidance and structure to business analysts contributing to initiatives, and partner closely with a project manager to help coordinate and deliver projects effectively. You will act as a trusted partner to stakeholders, bringing structure, technical insight and practical problem-solving to initiatives that span multiple functions.
The Team
The Data & Transformation team sits within Graphcore's broader business operations and technology environment. We are responsible for driving enterprise-wide change across systems, data and processes, helping the business work more effectively, make better decisions and scale in a sustainable way.
We partner closely with teams across Finance, People, IT and other operational functions to identify opportunities, design improved ways of working and deliver technology-enabled transformation. Our work spans business analysis, process design, data improvement, solution shaping and change delivery.
Responsibilities and Duties
- 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
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.
