Who You'll Be Working WithThe Data Powered Industries & Domains (DPID) team , part of Capgemini’s Insights & Data practice, is expanding its Intelligent Industries capability.We work with some of the UK's largest and most complex organisations across sectors including Energy & Utilities, Manufacturing, Transport, Life Sciences, Aerospace & Defence, and Public Sector. By combining deep industry expertise with data, AI, engineering, and digital technologies, we help clients transform operations, accelerate decision-making, improve asset performance, and create new sources of business value.As an Intelligent Industries Business / Solution Architect, you will play a critical role in shaping client transformation programmes, bridging business strategy and technology delivery. You will work with senior client stakeholders to define future-state operating models, architect industry-specific solutions, and guide the adoption of data, AI, digital engineering, and intelligent operations capabilities. Based on the structure and expectations of the DPID Managing Solution Architect role.Please NoteSecurity ClearanceTo be successfully appointed to this role, candidates must be eligible to obtain Security Check (SC) Clearance.To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with meeting other relevant eligibility criteria. Throughout the recruitment process, candidates may be asked questions relating to nationality, residency, and security clearance eligibility. Some assignments may require sole UK nationality due to client security requirements.The Focus of Your RoleAs an Intelligent Industries Business / Solution Architect, you will provide strategic leadership across business transformation, digital operations, and intelligent industry initiatives.You will be responsible for helping organisations unlock business value from connected assets, digital engineering, industrial data, AI, automation, and intelligent operations.Advising senior stakeholders on Intelligent Industries transformationAct as a trusted advisor to business, operational, engineering, and technology leaders.Shape transformation strategies that leverage data, AI, digital twins, industrial IoT, automation, and next-generation operational platforms.Help clients understand the opportunities, risks, investment priorities, and organisational implications of Intelligent Industry transformation.Leading architecture across complex engagements and pursuitsDefine business and solution architectures for major transformation programmes.Lead the architectural vision from strategy and business case development through to solution delivery.Support business development activities, including opportunity qualification, proposals, client workshops, and sales pursuits.Create compelling solution approaches that differentiate Capgemini in the marketplace.Bridging business and technologyTranslate strategic business objectives into practical solution architectures and implementation roadmaps.Develop target operating models, capability maps, process architectures, and transformation plans.Ensure alignment between business outcomes, industry processes, data strategies, technology platforms, and governance requirements.Providing leadership across Intelligent Industries domainsDemonstrate expertise in one or more of the following areas:Industrial Data PlatformsOperational Technology (OT) integrationIndustrial AI and Generative AIDigital TwinsAsset ManagementEngineering Information ManagementSmart Operations and Control CentresManufacturing OperationsUtilities Network OperationsConnected Products and ServicesSustainability and Operational PerformanceBuilding capability and thought leadershipContribute to the growth of Capgemini’s Intelligent Industries community.Mentor colleagues and support the development of junior architects and consultants.Develop reusable assets, patterns, accelerators, and industry offerings.Contribute to thought leadership, innovation initiatives, and market-facing content.What You'll BringYou will bring a combination of industry knowledge, architecture expertise, consulting skills, and the ability to influence senior stakeholders.ExperienceWe recognise that exceptional candidates may not meet every requirement. If you bring many of these capabilities, we encourage you to apply.Proven experience as a Business Architect, Solution Architect, Enterprise Architect, or Lead Consultant.Experience shaping and delivering transformation programmes within industrial sectors such as Energy & Utilities, Manufacturing, Life Sciences,Transport, Defence, or Infrastructure.Experience developing target operating models, business capability architectures, and transformation roadmaps.Experience advising senior stakeholders and building trusted executive relationships.Experience leading discovery activities, workshops, and strategic assessments.Experience supporting business development, bids, and client pursuits.Experience working within complex, multi-disciplinary delivery teams.Experience operating in secure or regulated environments.Nice to HaveKnowledge of industrial platforms such as SAP, Siemens, AVEVA, Dassault Systèmes, Schneider Electric, Microsoft, PTC, or AspenTech.Experience with Industry 4.0, Smart Manufacturing, Intelligent Asset Management, or Digital Twin initiatives.Knowledge of Enterprise Architecture frameworks such as TOGAF.Understanding of cloud-native architectures across Azure, AWS, or Google Cloud.Existing UK Security Clearance.Must-Have SkillsBusiness /Solution ArchitectureStrong understanding of business architecture principles, operating model design, process transformation, and capability mapping.Ability to connect business outcomes with technology-enabled transformation.Intelligent Industry Domain KnowledgeStrong understanding of industrial operations, engineering environments, asset-intensive organisations, and operational performance challenges.Knowledge of emerging Intelligent Industry trends and technologies.Data and AIUnderstanding of how data, analytics, AI, and digital technologies create measurable operational and business value.Appreciation of data governance, responsible AI, cybersecurity, and regulatory requirements.Stakeholder ManagementAbility to communicate complex concepts clearly to both technical and non-technical audiences.Strong facilitation, workshop leadership, and consulting skills.Ability to influence senior stakeholders and drive consensus across diverse groups.LeadershipCollaborative mindset with strong interpersonal skills.Comfortable operating in ambiguity and defining both business problems and solution approaches.Passion for innovation, continuous learning, and knowledge sharing.Additional InfoHybrid WorkingThe location of work will be a blend of Capgemini offices, client sites, and home working, depending on client and business requirements.Security and VettingSuccessful candidates will undergo pre-employment screening and may be required to complete additional security checks depending on the nature of client engagements. Security clearance eligibility is a mandatory requirement for this role.Why Join Us?This is an opportunity to help shape the future of Intelligent Industries within Capgemini's growing Data Powered Industries & Domains practice. You will work at the intersection of industry, business transformation, data, AI, and engineering, helping some of the world's leading organisations solve their most complex operational challenges while contributing to the next generation of industry transformation. #J-18808-Ljbffr
Data Advisory - Manufacturing Data II Advisor in Birmingham employer: Capgemini
Capgemini is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a hybrid working model, employees enjoy the flexibility of blending office, client site, and home working, while also benefiting from extensive growth opportunities and professional development within the Capital Markets sector. Join us to be part of a team that values governance excellence and empowers you to make a meaningful impact in complex programme environments.
