10 ago - Milano
Capgemini
Role Overview
As an Enterprise Technology & AI Transformation Senior Consultant, you will support clients across industries in the design and delivery of complex enterprise transformations, combining technology strategy, operating model design, process optimization, data and AI capabilities, and transformation governance. You will be a key player in assessing enterprise technology landscapes, operating models, capabilities and processes, identifying transformation priorities, value opportunities and execution risks. You will define and evolve enterprise and technology Target Operating Models, shape end-to-end transformation strategies, roadmaps and business cases, and design AI-enabled business and technology operating models.
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What You Will Do
Your day-to-day responsibilities will include assessing enterprise technology landscapes, operating models, capabilities and processes, identifying transformation priorities, value opportunities and execution risks. You will define and evolve enterprise and technology Target Operating Models, shape end-to-end transformation strategies, roadmaps and business cases, and design AI-enabled business and technology operating models.
Why It Might Be a Fit
To be a fit for this role, you will have 3–6+ years of experience in technology consulting, enterprise transformation, IT strategy, operating model design, digital transformation, enterprise architecture or complex change programs. You will have a solid understanding of enterprise technology domains such as cloud, data platforms, integration, cybersecurity, enterprise applications, software delivery and technology operations. You will also have practical knowledge of AI and generative AI concepts, use-case assessment, implementation lifecycle, responsible AI, governance, adoption and value measurement.
Requirements
- 3–6+ years of experience in technology consulting,
enterprise transformation, IT strategy, operating model design, digital transformation, enterprise architecture or complex change programs
- Master’s degree in Computer Science, Engineering, Information Systems, Data/AI, Management Engineering, Economics or a comparable discipline
- Solid understanding of enterprise technology domains such as cloud, data platforms, integration, cybersecurity, enterprise applications, software delivery and technology operations
- Practical knowledge of AI and generative AI concepts, use-case assessment, implementation lifecycle, responsible AI, governance, adoption and value measurement
- Experience in designing Target Operating Models and translating them into organization, process, governance, capability, technology and implementation requirements
- Nice to have: familiarity with transformation methods and frameworks such as Agile, product operating models, ITIL, COBIT, TOGAF, DevSecOps, Lean or process excellence
- Experience with common collaboration, analysis and delivery tools (e.g. PowerPoint, Excel, Visio, Jira, Confluence, Miro, ServiceNow xysqume or architecture/process-modelling platforms)
- Knowledge of SAP Finance and Controlling processes and solutions, preferably in SAP S/4HANA environments
- Knowledge of procurement and Source-to-Pay processes and related SAP solutions
- Ability to connect SAP-enabled process design with enterprise architecture, data, controls, Target Operating Model, organizational impacts and change requirements
- Strong analytical and problem-solving mindset, structured communication and the ability to work effectively in international, multi-stakeholder environments
Benefits
- Flexible work solutions to support work-life balance
- Professional development paths designed to help you explore a world of opportunities
- Inclusive workplace where diverse talents are valued
- Global Business Technology community to help define end-to-end technology strategies, Target Operating Models, and AI-enabled transformation programs
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