Lithe Consulting Ltd
Canary Wharf, United Kingdom Posted on 09/08/2026 Transformation Practitioner (inside IR35) A major UK bank's cybersecurity function is preparing for large-scale change, starting with a lean, seeded phase this year and a bigger build from next year. The bank wants to prove value in quarters, through a qualitative business review, rather than commit to a big programme upfront. The focus is control, compliance and safer, faster engineering journeys. The engagement runs through a partner consultancy who holds the direct client relationship. What the client wants People who feel like practitioners, not coaches. They work alongside the bank's own portfolio managers and Scrum Masters, act as extended resource, and show the change by doing the work rather than instructing from the side. They want consultants who are framework-agnostic and heavy on real delivery The team Three people to spearhead the first phase, each carrying a specific, named piece of the problem so the client sponsor can hand it off and focus elsewhere. One example given directly by the client sponsor: portfolio slicing, redesign and shaping into value streams. Core responsibilities Take ownership of one named problem area within the transformation and act as the go-to person for it Work embedded inside the bank's teams, alongside portfolio managers and Scrum Masters, rather than running separate coaching sessions Build early, visible wins within the first quarter to support continued funding Contribute to the shaping and language of the approach, so it reads as practical guidance rather than a branded methodology Navigate a risk-averse, highly regulated environment with judgement and patience Ideal profile Strong track record in a large, complex, regulated environment; banking or financial services preferred Comfortable working as an embedded resource rather than a visiting advisor Able to flex approach to the client's context, no fixed playbook Confident engaging at exec and board level, and equally comfortable doing hands-on delivery work Prior exposure to cybersecurity, technology risk, or a comparable control-focused function is a strong plus Trusted, low-maintenance operators who need guardrails rather than close supervision
Canary Wharf, United Kingdom Posted on 09/08/2026 Transformation Practitioner (inside IR35) A major UK bank's cybersecurity function is preparing for large-scale change, starting with a lean, seeded phase this year and a bigger build from next year. The bank wants to prove value in quarters, through a qualitative business review, rather than commit to a big programme upfront. The focus is control, compliance and safer, faster engineering journeys. The engagement runs through a partner consultancy who holds the direct client relationship. What the client wants People who feel like practitioners, not coaches. They work alongside the bank's own portfolio managers and Scrum Masters, act as extended resource, and show the change by doing the work rather than instructing from the side. They want consultants who are framework-agnostic and heavy on real delivery The team Three people to spearhead the first phase, each carrying a specific, named piece of the problem so the client sponsor can hand it off and focus elsewhere. One example given directly by the client sponsor: portfolio slicing, redesign and shaping into value streams. Core responsibilities Take ownership of one named problem area within the transformation and act as the go-to person for it Work embedded inside the bank's teams, alongside portfolio managers and Scrum Masters, rather than running separate coaching sessions Build early, visible wins within the first quarter to support continued funding Contribute to the shaping and language of the approach, so it reads as practical guidance rather than a branded methodology Navigate a risk-averse, highly regulated environment with judgement and patience Ideal profile Strong track record in a large, complex, regulated environment; banking or financial services preferred Comfortable working as an embedded resource rather than a visiting advisor Able to flex approach to the client's context, no fixed playbook Confident engaging at exec and board level, and equally comfortable doing hands-on delivery work Prior exposure to cybersecurity, technology risk, or a comparable control-focused function is a strong plus Trusted, low-maintenance operators who need guardrails rather than close supervision
Lithe Consulting Ltd
London, United Kingdom Posted on 08/13/2026 My client is a fast-growing, well-funded technology company operating at the forefront of AI, robotics and advanced engineering. Its mission is to develop highly sophisticated technology that brings AI out of the digital world and into real-world industrial environments. The business is entering an important stage of its growth and is building a world-class international team across AI, engineering, technology and business operations. As part of this next phase, it is looking to transform not only the products it creates, but also how the company itself operates through AI. About the Role As VP of AI Transformation, you will be responsible for defining and executing my client's enterprise-wide AI transformation strategy. This leader will establish the vision, operating model, governance framework, and execution roadmap required to enable AI adoption across all business functions. Working closely with the CEO, Executive Leadership Team, Business Transformation, IT, Engineering, and functional leaders, you will drive the organisation's evolution into an AI-native company. You will lead the AI Transformation Office and oversee a cross-functional team, including AI Leads across Engineering, Business Operations, Back Office Functions, and Executive Operations. You will ensure that every AI initiative delivers measurable business value while maintaining the highest standards of security, compliance, governance, and operational excellence. This is a highly strategic leadership role with significant influence over the future operating model of the company. What You'll Do Define and execute the enterprise AI transformation vision and roadmap. Develop a company-wide AI strategy aligned with business objectives and growth plans. Establish priorities, investment frameworks, and governance structures for AI initiatives. Advise executive leadership on emerging AI opportunities, risks, and market developments. Build an AI-first culture focused on innovation, productivity, and continuous improvement. Drive the adoption of AI agents, intelligent automation, and AI-enabled workflows across the organisation. Own and evolve the company's AI-Powered Continuous Improvement Flywheel. Establish transformation governance, operating cadences, reporting mechanisms, and executive review forums. Embed AI initiatives into business planning, capability maturity assessments, and operational reviews. Identify, prioritise, and scale high-impact AI use cases across all functions. Ensure successful pilots are translated into enterprise-wide capabilities. Drive the development of AI-native ways of working across the organisation. Establish policies, standards, and controls for responsible AI deployment. Define governance frameworks covering: AI ethics and responsible AI Security and cyber risk management Data governance and privacy Human-in-the-loop controls Model evaluation and monitoring Compliance and audit readiness AI vendor and platform governance Ensure all AI solutions align with corporate, legal, and regulatory requirements. Organisational Transformation & Change Management Lead enterprise-wide AI adoption and change management programmes. Build AI literacy across leadership teams and employee populations. Establish AI Champions networks and communities of practice. Drive workforce enablement and behavioural change initiatives. Foster a culture where AI augments human capabilities, accelerates decision-making, and improves productivity. Business Impact & Value Realisation Define KPIs and success metrics for AI transformation initiatives. Measure and report: Automation maturity Productivity improvements ROI of AI initiatives Quality and accuracy outcomes Operational performance improvements Present transformation progress, outcomes, and strategic recommendations to the Executive Leadership Team and Board. Cross-Functional Leadership Lead and mentor AI Leads and transformation teams across the business. Partner closely with: CEO and Executive Leadership Team Business Transformation IT Finance HR Supply Chain Compliance Cybersecurity Align AI initiatives across functions to avoid duplication and maximise business impact. Promote collaboration between technical and business teams. Innovation & External Ecosystem Continuously evaluate emerging AI technologies, platforms, and market developments. Build relationships with AI vendors, research institutions, industry partners, and startups. Identify opportunities to create competitive advantage through AI. Benchmark the organisation against leading AI-native companies and establish best practices. What We're Looking For 10+ years of experience in business transformation, digital transformation, enterprise technology, AI strategy, or AI leadership roles. Proven track record leading large-scale organisational transformation programmes. Deep understanding of artificial intelligence, machine learning, generative AI, agentic AI systems, automation, and enterprise AI platforms. Experience designing enterprise operating models, governance frameworks, and transformation programmes. Strong understanding of business process transformation and continuous improvement methodologies. Experience leading cross-functional initiatives involving business, technology, and operations teams. Exceptional executive communication and stakeholder management skills. Strong analytical, strategic, and systems-thinking capabilities. Demonstrated ability to translate emerging technologies into measurable business outcomes. Experience building AI adoption programmes at enterprise scale. Nice to Have Experience building AI Centres of Excellence (CoE) or enterprise AI programmes. Experience deploying AI agents and intelligent automation solutions at scale. Background in robotics, advanced manufacturing, industrial automation, or deep-tech organisations. Familiarity with Lean, Six Sigma, capability maturity frameworks, and operational excellence methodologies. Experience with enterprise knowledge management and AI-driven decision support systems. MBA or advanced degree in Engineering, Computer Science, Business, or a related field. What Success Looks Like Within your first 12 months, you will have: Established the company's AI Transformation Office and governance framework. Embedded AI maturity assessments into business capability reviews. Delivered multiple AI initiatives with measurable business impact. Built and operationalised an AI-first operating model across engineering and business functions. Increased automation maturity across critical value streams. Improved productivity through AI-enabled workflows and intelligent automation. Created a sustainable AI adoption culture supported by governance, training, and continuous improvement. Helped position the business at the forefront of AI-native advanced technology organisations. What We Offer Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and company holidays. Fully funded private healthcare for UK employees, with broad provider access, virtual and in-person care, and strong mental health and serious illness support. Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in-office.
London, United Kingdom Posted on 08/13/2026 My client is a fast-growing, well-funded technology company operating at the forefront of AI, robotics and advanced engineering. Its mission is to develop highly sophisticated technology that brings AI out of the digital world and into real-world industrial environments. The business is entering an important stage of its growth and is building a world-class international team across AI, engineering, technology and business operations. As part of this next phase, it is looking to transform not only the products it creates, but also how the company itself operates through AI. About the Role As VP of AI Transformation, you will be responsible for defining and executing my client's enterprise-wide AI transformation strategy. This leader will establish the vision, operating model, governance framework, and execution roadmap required to enable AI adoption across all business functions. Working closely with the CEO, Executive Leadership Team, Business Transformation, IT, Engineering, and functional leaders, you will drive the organisation's evolution into an AI-native company. You will lead the AI Transformation Office and oversee a cross-functional team, including AI Leads across Engineering, Business Operations, Back Office Functions, and Executive Operations. You will ensure that every AI initiative delivers measurable business value while maintaining the highest standards of security, compliance, governance, and operational excellence. This is a highly strategic leadership role with significant influence over the future operating model of the company. What You'll Do Define and execute the enterprise AI transformation vision and roadmap. Develop a company-wide AI strategy aligned with business objectives and growth plans. Establish priorities, investment frameworks, and governance structures for AI initiatives. Advise executive leadership on emerging AI opportunities, risks, and market developments. Build an AI-first culture focused on innovation, productivity, and continuous improvement. Drive the adoption of AI agents, intelligent automation, and AI-enabled workflows across the organisation. Own and evolve the company's AI-Powered Continuous Improvement Flywheel. Establish transformation governance, operating cadences, reporting mechanisms, and executive review forums. Embed AI initiatives into business planning, capability maturity assessments, and operational reviews. Identify, prioritise, and scale high-impact AI use cases across all functions. Ensure successful pilots are translated into enterprise-wide capabilities. Drive the development of AI-native ways of working across the organisation. Establish policies, standards, and controls for responsible AI deployment. Define governance frameworks covering: AI ethics and responsible AI Security and cyber risk management Data governance and privacy Human-in-the-loop controls Model evaluation and monitoring Compliance and audit readiness AI vendor and platform governance Ensure all AI solutions align with corporate, legal, and regulatory requirements. Organisational Transformation & Change Management Lead enterprise-wide AI adoption and change management programmes. Build AI literacy across leadership teams and employee populations. Establish AI Champions networks and communities of practice. Drive workforce enablement and behavioural change initiatives. Foster a culture where AI augments human capabilities, accelerates decision-making, and improves productivity. Business Impact & Value Realisation Define KPIs and success metrics for AI transformation initiatives. Measure and report: Automation maturity Productivity improvements ROI of AI initiatives Quality and accuracy outcomes Operational performance improvements Present transformation progress, outcomes, and strategic recommendations to the Executive Leadership Team and Board. Cross-Functional Leadership Lead and mentor AI Leads and transformation teams across the business. Partner closely with: CEO and Executive Leadership Team Business Transformation IT Finance HR Supply Chain Compliance Cybersecurity Align AI initiatives across functions to avoid duplication and maximise business impact. Promote collaboration between technical and business teams. Innovation & External Ecosystem Continuously evaluate emerging AI technologies, platforms, and market developments. Build relationships with AI vendors, research institutions, industry partners, and startups. Identify opportunities to create competitive advantage through AI. Benchmark the organisation against leading AI-native companies and establish best practices. What We're Looking For 10+ years of experience in business transformation, digital transformation, enterprise technology, AI strategy, or AI leadership roles. Proven track record leading large-scale organisational transformation programmes. Deep understanding of artificial intelligence, machine learning, generative AI, agentic AI systems, automation, and enterprise AI platforms. Experience designing enterprise operating models, governance frameworks, and transformation programmes. Strong understanding of business process transformation and continuous improvement methodologies. Experience leading cross-functional initiatives involving business, technology, and operations teams. Exceptional executive communication and stakeholder management skills. Strong analytical, strategic, and systems-thinking capabilities. Demonstrated ability to translate emerging technologies into measurable business outcomes. Experience building AI adoption programmes at enterprise scale. Nice to Have Experience building AI Centres of Excellence (CoE) or enterprise AI programmes. Experience deploying AI agents and intelligent automation solutions at scale. Background in robotics, advanced manufacturing, industrial automation, or deep-tech organisations. Familiarity with Lean, Six Sigma, capability maturity frameworks, and operational excellence methodologies. Experience with enterprise knowledge management and AI-driven decision support systems. MBA or advanced degree in Engineering, Computer Science, Business, or a related field. What Success Looks Like Within your first 12 months, you will have: Established the company's AI Transformation Office and governance framework. Embedded AI maturity assessments into business capability reviews. Delivered multiple AI initiatives with measurable business impact. Built and operationalised an AI-first operating model across engineering and business functions. Increased automation maturity across critical value streams. Improved productivity through AI-enabled workflows and intelligent automation. Created a sustainable AI adoption culture supported by governance, training, and continuous improvement. Helped position the business at the forefront of AI-native advanced technology organisations. What We Offer Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and company holidays. Fully funded private healthcare for UK employees, with broad provider access, virtual and in-person care, and strong mental health and serious illness support. Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in-office.