Senior Enterprise Data & Analytics Manager London, Manchester or Glasgow / Hybrid £90k - £115k + bonus and benefits Are you a senior Data, AI or Analytics leader who can turn the potential of AI into measurable business transformation? This is an opportunity to join a forward-thinking AI Strategy team at the forefront of enterprise AI. You'll work with major organisati ons to move beyond experimentation, helping them embed Generative AI, Agentic AI, intelligent assistants and AI-enabled automation into the way they operate, make decisions and create value. You'll combine strategic thinking, consulting expertise and deep Data & AI knowledge to advise executive and C-suite stakeholders, shape enterprise AI strategies and lead transformation from strategy through to execution. What you'll be doing Lead enterprise AI transformation, identifying and prioritising high-value opportunities, shaping AI strategies, investment cases and roadmaps, and helping organisations progress from experimentation to enterprise-scale adoption. Advise senior stakeholders, acting as a trusted partner to business leaders and C-suite executives while translating complex AI opportunities into clear business outcomes, measurable value and adoption strategies. Design human-centred AI solutions, translating business challenges into AI-enabled products, agentic workflows and intelligent services, while integrating people, AI agents and business processes across customer, employee and operational experiences. Shape enterprise AI and data foundations, including AI-ready data platforms, semantic layers, data products and trusted knowledge assets, alongside architectures that enable AI agents to securely interact with enterprise systems and processes. Establish responsible AI at scale, shaping governance, security, evaluation and operational practices that make AI solutions reliable, safe and continuously improvable in production. Drive commercial and practice growth, leading proposals, RFPs, bids and client pitches, developing propositions and thought leadership, while contributing to recruitment, capability building, campaigns, whitepapers and internal innovation. Lead and develop high-performing teams, coaching talent, fostering inclusive and collaborative environments, and building new Data, AI and Agentic AI capabilities as the technology landscape evolves. What you'll bring Proven senior-level experience leading Data, Analytics and AI transformation, taking organisations from identifying opportunities through to enterprise adoption and measurable business impact. Strong understanding of Generative AI, Agentic AI, Retrieval Augmented Generation (RAG), intelligent assistants and AI-enabled automation, with awareness of major enterprise AI ecosystems such as OpenAI, Google, Anthropic and Microsoft. Experience shaping enterprise AI architectures and AI-ready data foundations, including cloud data platforms, semantic layers, data products, AI evaluation, security, governance and responsible AI. Significant consulting or senior client-facing experience, with the credibility to advise executive and C-suite stakeholders and communicate effectively across business, product and technical teams. Strong strategic and commercial acumen, including proposition development, opportunity shaping, bids and successful client engagement leadership. A track record of building and developing high-performing teams, leading through ambiguity and creating new capabilities in rapidly evolving technology environments. Desirable: Experience with agentic architectures, decision intelligence, human-centred AI operating models, thought leadership, recruitment and practice development, plus relevant Data/AI certifications or innovation experience. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Senior AI Manager, AI Strategy Manager, AI Transformation Director, Senior Data & Analytics Manager, Data Strategy Director, Enterprise AI Consultant, AI Consulting Lead, Data & AI Strategy Consultant, Generative AI, GenAI, Agentic AI, AI Agents, RAG, Retrieval Augmented Generation, Decision Intelligence, Intelligent Automation, AI Operating Models, AI Architecture, Data Platforms, Semantic Layers, Data Products, Responsible AI, AI Governance, Cloud Data, Enterprise AI, OpenAI, Google AI, Anthropic, Microsoft AI. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Oct 08, 2026
Full time
Senior Enterprise Data & Analytics Manager London, Manchester or Glasgow / Hybrid £90k - £115k + bonus and benefits Are you a senior Data, AI or Analytics leader who can turn the potential of AI into measurable business transformation? This is an opportunity to join a forward-thinking AI Strategy team at the forefront of enterprise AI. You'll work with major organisati ons to move beyond experimentation, helping them embed Generative AI, Agentic AI, intelligent assistants and AI-enabled automation into the way they operate, make decisions and create value. You'll combine strategic thinking, consulting expertise and deep Data & AI knowledge to advise executive and C-suite stakeholders, shape enterprise AI strategies and lead transformation from strategy through to execution. What you'll be doing Lead enterprise AI transformation, identifying and prioritising high-value opportunities, shaping AI strategies, investment cases and roadmaps, and helping organisations progress from experimentation to enterprise-scale adoption. Advise senior stakeholders, acting as a trusted partner to business leaders and C-suite executives while translating complex AI opportunities into clear business outcomes, measurable value and adoption strategies. Design human-centred AI solutions, translating business challenges into AI-enabled products, agentic workflows and intelligent services, while integrating people, AI agents and business processes across customer, employee and operational experiences. Shape enterprise AI and data foundations, including AI-ready data platforms, semantic layers, data products and trusted knowledge assets, alongside architectures that enable AI agents to securely interact with enterprise systems and processes. Establish responsible AI at scale, shaping governance, security, evaluation and operational practices that make AI solutions reliable, safe and continuously improvable in production. Drive commercial and practice growth, leading proposals, RFPs, bids and client pitches, developing propositions and thought leadership, while contributing to recruitment, capability building, campaigns, whitepapers and internal innovation. Lead and develop high-performing teams, coaching talent, fostering inclusive and collaborative environments, and building new Data, AI and Agentic AI capabilities as the technology landscape evolves. What you'll bring Proven senior-level experience leading Data, Analytics and AI transformation, taking organisations from identifying opportunities through to enterprise adoption and measurable business impact. Strong understanding of Generative AI, Agentic AI, Retrieval Augmented Generation (RAG), intelligent assistants and AI-enabled automation, with awareness of major enterprise AI ecosystems such as OpenAI, Google, Anthropic and Microsoft. Experience shaping enterprise AI architectures and AI-ready data foundations, including cloud data platforms, semantic layers, data products, AI evaluation, security, governance and responsible AI. Significant consulting or senior client-facing experience, with the credibility to advise executive and C-suite stakeholders and communicate effectively across business, product and technical teams. Strong strategic and commercial acumen, including proposition development, opportunity shaping, bids and successful client engagement leadership. A track record of building and developing high-performing teams, leading through ambiguity and creating new capabilities in rapidly evolving technology environments. Desirable: Experience with agentic architectures, decision intelligence, human-centred AI operating models, thought leadership, recruitment and practice development, plus relevant Data/AI certifications or innovation experience. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Senior AI Manager, AI Strategy Manager, AI Transformation Director, Senior Data & Analytics Manager, Data Strategy Director, Enterprise AI Consultant, AI Consulting Lead, Data & AI Strategy Consultant, Generative AI, GenAI, Agentic AI, AI Agents, RAG, Retrieval Augmented Generation, Decision Intelligence, Intelligent Automation, AI Operating Models, AI Architecture, Data Platforms, Semantic Layers, Data Products, Responsible AI, AI Governance, Cloud Data, Enterprise AI, OpenAI, Google AI, Anthropic, Microsoft AI. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Senior AI Automation Engineer £100,000-£120,000 London or Birmingham Hybrid - 3 days per week in the office We're looking for a Senior AI Automation Engineer to join a growing specialist AI engineering capability within a major UK company. This is a hands-on engineering role focused on designing and delivering production-grade AI applications, intelligent agents and automated workflows within a large, governed enterprise environment. You'll work across Microsoft Copilot, Python, Power Platform and Azure, combining modern software engineering with AI and workflow automation to build solutions that move beyond proof-of-concept and into real-world production use. The role You'll sit at the intersection of AI engineering, software development and intelligent automation, taking ownership of the technical design and delivery of AI-powered solutions used across the business. Your work will include: Designing and building AI agents and multi-step automated workflows Developing production-grade Python services, APIs and automation pipelines Building solutions using Microsoft Copilot Studio and Power Platform Orchestrating workflows across Copilot Studio, Azure AI / Azure AI Foundry and internal enterprise systems Integrating AI applications with existing platforms through REST/GraphQL APIs and event-driven architectures Developing reusable connectors, tools, services and agent capabilities Designing agent orchestration, tool-use and integration patterns Building CI/CD pipelines and automated testing frameworks Deploying and monitoring AI applications in production Ensuring solutions are scalable, observable, secure and maintainable Leading technical design discussions and code reviews Helping establish engineering standards and supporting the development of more junior engineers What we're looking for We're looking for an experienced engineer who combines strong software engineering fundamentals with practical experience delivering AI and automation solutions. Strong commercial Python engineering experience, including APIs, testing, modular architecture and asynchronous processing Strong experience with Microsoft Copilot / Copilot Studio Strong experience with Microsoft Power Platform and workflow automation Experience building and deploying production AI/LLM applications, agents or AI-powered workflows Experience with Azure OpenAI, Azure AI / AI Foundry or comparable AI platforms Understanding of agentic AI patterns, orchestration, tool use, prompt design and LLM limitations Strong API and systems integration experience, including REST and/or GraphQL Experience designing reusable services, connectors and integration components Microsoft Azure experience across services such as Functions, containers and AI services Strong CI/CD, Git and automated testing experience Experience with Docker, Kubernetes or Azure Container Apps An understanding of production monitoring, reliability and observability Experience with MCP or similar integration patterns, AI governance, prompt evaluation/versioning, event-driven systems or highly regulated environments would be particularly valuable. Why join? This is an opportunity to join an organisation making a significant investment in its internal AI engineering capability. Rather than simply experimenting with generative AI, you'll be responsible for building the engineering foundations that allow Copilot, Python, Power Platform and Azure AI solutions to operate reliably at enterprise scale. You'll have the opportunity to influence architecture and engineering standards while remaining hands-on with the technology and seeing the systems you build adopted directly by users. Senior AI Automation Engineer Salary : £100,000-£120,000 Location : London or Birmingham Working pattern : Hybrid - 3 days per week in the office RSG Plc is acting as an Employment Agency in relation to this vacancy.
Oct 07, 2026
Full time
Senior AI Automation Engineer £100,000-£120,000 London or Birmingham Hybrid - 3 days per week in the office We're looking for a Senior AI Automation Engineer to join a growing specialist AI engineering capability within a major UK company. This is a hands-on engineering role focused on designing and delivering production-grade AI applications, intelligent agents and automated workflows within a large, governed enterprise environment. You'll work across Microsoft Copilot, Python, Power Platform and Azure, combining modern software engineering with AI and workflow automation to build solutions that move beyond proof-of-concept and into real-world production use. The role You'll sit at the intersection of AI engineering, software development and intelligent automation, taking ownership of the technical design and delivery of AI-powered solutions used across the business. Your work will include: Designing and building AI agents and multi-step automated workflows Developing production-grade Python services, APIs and automation pipelines Building solutions using Microsoft Copilot Studio and Power Platform Orchestrating workflows across Copilot Studio, Azure AI / Azure AI Foundry and internal enterprise systems Integrating AI applications with existing platforms through REST/GraphQL APIs and event-driven architectures Developing reusable connectors, tools, services and agent capabilities Designing agent orchestration, tool-use and integration patterns Building CI/CD pipelines and automated testing frameworks Deploying and monitoring AI applications in production Ensuring solutions are scalable, observable, secure and maintainable Leading technical design discussions and code reviews Helping establish engineering standards and supporting the development of more junior engineers What we're looking for We're looking for an experienced engineer who combines strong software engineering fundamentals with practical experience delivering AI and automation solutions. Strong commercial Python engineering experience, including APIs, testing, modular architecture and asynchronous processing Strong experience with Microsoft Copilot / Copilot Studio Strong experience with Microsoft Power Platform and workflow automation Experience building and deploying production AI/LLM applications, agents or AI-powered workflows Experience with Azure OpenAI, Azure AI / AI Foundry or comparable AI platforms Understanding of agentic AI patterns, orchestration, tool use, prompt design and LLM limitations Strong API and systems integration experience, including REST and/or GraphQL Experience designing reusable services, connectors and integration components Microsoft Azure experience across services such as Functions, containers and AI services Strong CI/CD, Git and automated testing experience Experience with Docker, Kubernetes or Azure Container Apps An understanding of production monitoring, reliability and observability Experience with MCP or similar integration patterns, AI governance, prompt evaluation/versioning, event-driven systems or highly regulated environments would be particularly valuable. Why join? This is an opportunity to join an organisation making a significant investment in its internal AI engineering capability. Rather than simply experimenting with generative AI, you'll be responsible for building the engineering foundations that allow Copilot, Python, Power Platform and Azure AI solutions to operate reliably at enterprise scale. You'll have the opportunity to influence architecture and engineering standards while remaining hands-on with the technology and seeing the systems you build adopted directly by users. Senior AI Automation Engineer Salary : £100,000-£120,000 Location : London or Birmingham Working pattern : Hybrid - 3 days per week in the office RSG Plc is acting as an Employment Agency in relation to this vacancy.
Senior AI Automation Engineer £100,000-£120,000 London or Birmingham Hybrid - 3 days per week in the office We're looking for a Senior AI Automation Engineer to join a growing specialist AI engineering capability within a major UK company. This is a hands-on engineering role focused on designing and delivering production-grade AI applications, intelligent agents and automated workflows within a large, governed enterprise environment. You'll work across Microsoft Copilot, Python, Power Platform and Azure, combining modern software engineering with AI and workflow automation to build solutions that move beyond proof-of-concept and into real-world production use. The role You'll sit at the intersection of AI engineering, software development and intelligent automation, taking ownership of the technical design and delivery of AI-powered solutions used across the business. Your work will include: Designing and building AI agents and multi-step automated workflows Developing production-grade Python services, APIs and automation pipelines Building solutions using Microsoft Copilot Studio and Power Platform Orchestrating workflows across Copilot Studio, Azure AI / Azure AI Foundry and internal enterprise systems Integrating AI applications with existing platforms through REST/GraphQL APIs and event-driven architectures Developing reusable connectors, tools, services and agent capabilities Designing agent orchestration, tool-use and integration patterns Building CI/CD pipelines and automated testing frameworks Deploying and monitoring AI applications in production Ensuring solutions are scalable, observable, secure and maintainable Leading technical design discussions and code reviews Helping establish engineering standards and supporting the development of more junior engineers What we're looking for We're looking for an experienced engineer who combines strong software engineering fundamentals with practical experience delivering AI and automation solutions. Strong commercial Python engineering experience, including APIs, testing, modular architecture and asynchronous processing Strong experience with Microsoft Copilot / Copilot Studio Strong experience with Microsoft Power Platform and workflow automation Experience building and deploying production AI/LLM applications, agents or AI-powered workflows Experience with Azure OpenAI, Azure AI / AI Foundry or comparable AI platforms Understanding of agentic AI patterns, orchestration, tool use, prompt design and LLM limitations Strong API and systems integration experience, including REST and/or GraphQL Experience designing reusable services, connectors and integration components Microsoft Azure experience across services such as Functions, containers and AI services Strong CI/CD, Git and automated testing experience Experience with Docker, Kubernetes or Azure Container Apps An understanding of production monitoring, reliability and observability Experience with MCP or similar integration patterns, AI governance, prompt evaluation/versioning, event-driven systems or highly regulated environments would be particularly valuable. Why join? This is an opportunity to join an organisation making a significant investment in its internal AI engineering capability. Rather than simply experimenting with generative AI, you'll be responsible for building the engineering foundations that allow Copilot, Python, Power Platform and Azure AI solutions to operate reliably at enterprise scale. You'll have the opportunity to influence architecture and engineering standards while remaining hands-on with the technology and seeing the systems you build adopted directly by users. Senior AI Automation Engineer Salary : £100,000-£120,000 Location : London or Birmingham Working pattern : Hybrid - 3 days per week in the office RSG Plc is acting as an Employment Agency in relation to this vacancy.
Oct 07, 2026
Full time
Senior AI Automation Engineer £100,000-£120,000 London or Birmingham Hybrid - 3 days per week in the office We're looking for a Senior AI Automation Engineer to join a growing specialist AI engineering capability within a major UK company. This is a hands-on engineering role focused on designing and delivering production-grade AI applications, intelligent agents and automated workflows within a large, governed enterprise environment. You'll work across Microsoft Copilot, Python, Power Platform and Azure, combining modern software engineering with AI and workflow automation to build solutions that move beyond proof-of-concept and into real-world production use. The role You'll sit at the intersection of AI engineering, software development and intelligent automation, taking ownership of the technical design and delivery of AI-powered solutions used across the business. Your work will include: Designing and building AI agents and multi-step automated workflows Developing production-grade Python services, APIs and automation pipelines Building solutions using Microsoft Copilot Studio and Power Platform Orchestrating workflows across Copilot Studio, Azure AI / Azure AI Foundry and internal enterprise systems Integrating AI applications with existing platforms through REST/GraphQL APIs and event-driven architectures Developing reusable connectors, tools, services and agent capabilities Designing agent orchestration, tool-use and integration patterns Building CI/CD pipelines and automated testing frameworks Deploying and monitoring AI applications in production Ensuring solutions are scalable, observable, secure and maintainable Leading technical design discussions and code reviews Helping establish engineering standards and supporting the development of more junior engineers What we're looking for We're looking for an experienced engineer who combines strong software engineering fundamentals with practical experience delivering AI and automation solutions. Strong commercial Python engineering experience, including APIs, testing, modular architecture and asynchronous processing Strong experience with Microsoft Copilot / Copilot Studio Strong experience with Microsoft Power Platform and workflow automation Experience building and deploying production AI/LLM applications, agents or AI-powered workflows Experience with Azure OpenAI, Azure AI / AI Foundry or comparable AI platforms Understanding of agentic AI patterns, orchestration, tool use, prompt design and LLM limitations Strong API and systems integration experience, including REST and/or GraphQL Experience designing reusable services, connectors and integration components Microsoft Azure experience across services such as Functions, containers and AI services Strong CI/CD, Git and automated testing experience Experience with Docker, Kubernetes or Azure Container Apps An understanding of production monitoring, reliability and observability Experience with MCP or similar integration patterns, AI governance, prompt evaluation/versioning, event-driven systems or highly regulated environments would be particularly valuable. Why join? This is an opportunity to join an organisation making a significant investment in its internal AI engineering capability. Rather than simply experimenting with generative AI, you'll be responsible for building the engineering foundations that allow Copilot, Python, Power Platform and Azure AI solutions to operate reliably at enterprise scale. You'll have the opportunity to influence architecture and engineering standards while remaining hands-on with the technology and seeing the systems you build adopted directly by users. Senior AI Automation Engineer Salary : £100,000-£120,000 Location : London or Birmingham Working pattern : Hybrid - 3 days per week in the office RSG Plc is acting as an Employment Agency in relation to this vacancy.
Analytics Manager Onsite - Leicestershire (5x days per week) £90,000 - £95,000 + bonus An opportunity to lead data, analytics and automation within a complex Finance Operations environment. You will shape the strategy across MI, RPA and emerging AI capabilities, leading technical teams while delivering measurable improvements across data, reporting and automation. The Company They are a large, established organisation investing in the continued evolution of their data and automation capabilities. Data plays a critical role in operational and financial decision-making, with a mature technology ecosystem already in place. They are now looking for a Senior Data Analytics Manager to lead the next stage of this journey. The Role As Senior Data Analytics Manager, you will: Lead multidisciplinary teams across data, MI, reporting and RPA, providing strategic direction to senior team members. Own the data and analytics strategy for Finance Operations, including a large-scale data ecosystem and complex semantic models. Drive the evolution of automation, identifying opportunities for intelligent workflows and Agentic AI. Develop analytics capabilities across Databricks, Power BI and AI-powered BI to deliver predictive and actionable insights. Oversee the governance, performance and controls surrounding a substantial portfolio of live automated processes. Partner with senior stakeholders across Finance, IT and Operations to translate technical roadmaps into measurable business value. Lead strategic projects from inception through to delivery, with clear governance and accountability. Your Skills & Experience You will bring: Strong commercial experience leading technical teams across Data, Analytics and/or Automation. Strong knowledge of modern data architecture, Databricks, data modelling and data governance. Expertise using SQL for complex querying and scalable analytics solutions. Experience with DAX and Power BI, alongside an understanding of semantic data models. Experience using Python for data engineering, analytics or process automation. Strong knowledge of RPA, process automation and process re-engineering. An understanding of emerging AI capabilities, including Agentic AI and AI-powered analytics. Strong stakeholder management skills, with the ability to communicate technical strategy clearly to senior audiences. Experience managing governance, change control and operational risk within complex production environments. What They Offer £90,000 to £95,000 base salary. Bonus. The opportunity to own and influence a significant data, analytics and automation strategy. Exposure to modern technologies across Databricks, Power BI, RPA and AI. A senior leadership position with scope to drive meaningful technological and operational change. This is an onsite position based in Leicestershire, requiring office attendance 5 day How to Apply Apply now to be considered for this Senior Data Analytics Manager opportunity in Leicestershire.
Oct 06, 2026
Full time
Analytics Manager Onsite - Leicestershire (5x days per week) £90,000 - £95,000 + bonus An opportunity to lead data, analytics and automation within a complex Finance Operations environment. You will shape the strategy across MI, RPA and emerging AI capabilities, leading technical teams while delivering measurable improvements across data, reporting and automation. The Company They are a large, established organisation investing in the continued evolution of their data and automation capabilities. Data plays a critical role in operational and financial decision-making, with a mature technology ecosystem already in place. They are now looking for a Senior Data Analytics Manager to lead the next stage of this journey. The Role As Senior Data Analytics Manager, you will: Lead multidisciplinary teams across data, MI, reporting and RPA, providing strategic direction to senior team members. Own the data and analytics strategy for Finance Operations, including a large-scale data ecosystem and complex semantic models. Drive the evolution of automation, identifying opportunities for intelligent workflows and Agentic AI. Develop analytics capabilities across Databricks, Power BI and AI-powered BI to deliver predictive and actionable insights. Oversee the governance, performance and controls surrounding a substantial portfolio of live automated processes. Partner with senior stakeholders across Finance, IT and Operations to translate technical roadmaps into measurable business value. Lead strategic projects from inception through to delivery, with clear governance and accountability. Your Skills & Experience You will bring: Strong commercial experience leading technical teams across Data, Analytics and/or Automation. Strong knowledge of modern data architecture, Databricks, data modelling and data governance. Expertise using SQL for complex querying and scalable analytics solutions. Experience with DAX and Power BI, alongside an understanding of semantic data models. Experience using Python for data engineering, analytics or process automation. Strong knowledge of RPA, process automation and process re-engineering. An understanding of emerging AI capabilities, including Agentic AI and AI-powered analytics. Strong stakeholder management skills, with the ability to communicate technical strategy clearly to senior audiences. Experience managing governance, change control and operational risk within complex production environments. What They Offer £90,000 to £95,000 base salary. Bonus. The opportunity to own and influence a significant data, analytics and automation strategy. Exposure to modern technologies across Databricks, Power BI, RPA and AI. A senior leadership position with scope to drive meaningful technological and operational change. This is an onsite position based in Leicestershire, requiring office attendance 5 day How to Apply Apply now to be considered for this Senior Data Analytics Manager opportunity in Leicestershire.
Forward Deployed Specialist / HR Transformation Lead - Insurance 6-Month Contract Inside IR35 - Remote Working Ad-hoc Travel to London We are partnering with one of our Global Insurance Clients to Recruit a Forward Deployed Specialist (FDS) / HR Transformation Lead , supporting strategic HR transformation initiatives across business, technology, automation and AI. Operating at the intersection of HR, digital transformation and technology, you will work closely with HR leaders, Global Process Owners, Centres of Excellence and technology teams to identify opportunities, shape solutions and drive the delivery of innovative, technology-enabled outcomes. Required Experience: Proven experience within HR Technology, HR Transformation, Product Management, Digital Transformation or Consulting environments. Strong understanding of HR processes, operating models and business outcomes. Demonstrated experience facilitating discovery workshops and engaging senior stakeholders. Excellent analytical, problem-solving and solution design capabilities. Experience delivering technology-enabled change, digital products, automation or transformation initiatives. Exposure to AI, Generative AI, Copilot and automation technologies. Working knowledge of Power Platform, Microsoft 365 and associated collaboration technologies. Ability to operate effectively across business and technical stakeholders within complex enterprise environments. Enterprise HR platforms such as Workday, SuccessFactors, Oracle HCM or ServiceNow HRSD. AI, Agentic AI and Intelligent Automation solutions. Integration, API and process automation expertise. Enterprise Architecture, Service Design or Product Management experience. Hands-on prototyping or solution development capability. If you have experience delivering business-led transformation through technology, automation and AI, and are comfortable operating in a highly collaborative, enterprise environment, we would be pleased to hear from you. Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.
Oct 02, 2026
Full time
Forward Deployed Specialist / HR Transformation Lead - Insurance 6-Month Contract Inside IR35 - Remote Working Ad-hoc Travel to London We are partnering with one of our Global Insurance Clients to Recruit a Forward Deployed Specialist (FDS) / HR Transformation Lead , supporting strategic HR transformation initiatives across business, technology, automation and AI. Operating at the intersection of HR, digital transformation and technology, you will work closely with HR leaders, Global Process Owners, Centres of Excellence and technology teams to identify opportunities, shape solutions and drive the delivery of innovative, technology-enabled outcomes. Required Experience: Proven experience within HR Technology, HR Transformation, Product Management, Digital Transformation or Consulting environments. Strong understanding of HR processes, operating models and business outcomes. Demonstrated experience facilitating discovery workshops and engaging senior stakeholders. Excellent analytical, problem-solving and solution design capabilities. Experience delivering technology-enabled change, digital products, automation or transformation initiatives. Exposure to AI, Generative AI, Copilot and automation technologies. Working knowledge of Power Platform, Microsoft 365 and associated collaboration technologies. Ability to operate effectively across business and technical stakeholders within complex enterprise environments. Enterprise HR platforms such as Workday, SuccessFactors, Oracle HCM or ServiceNow HRSD. AI, Agentic AI and Intelligent Automation solutions. Integration, API and process automation expertise. Enterprise Architecture, Service Design or Product Management experience. Hands-on prototyping or solution development capability. If you have experience delivering business-led transformation through technology, automation and AI, and are comfortable operating in a highly collaborative, enterprise environment, we would be pleased to hear from you. Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.
