(Senior) Manager

pOther locations: Anywhere in Country /p h3The Opportunity: Your Next Adventure Awaits? /h3 pAI is moving from experimentation to enterprise execution. Organisations now need leaders who can connect ambition to architecture, data foundations to deployed products, and emerging technology to measurable business value. At EY Belgium, our Data AI practice is growing rapidly, and we are investing significantly in the capabilities, talent and propositions that will define our next phase. /p pWe work with leading organisations on Artificial Intelligence, Generative AI, Agentic AI, data platforms, AI-ready data foundations, AI engineering, data engineering, intelligent operations and responsible adoption. Our work spans strategy, engineering and transformation: from shaping an AI Strategy or Data Strategy to building scalable solutions, modernising Data Architecture and embedding new ways of working. /p pbThis is an opportunity to build, not just to manage. /b As Senior Manager – AI Data, you will join us at a moment of momentum and help shape what comes next. You will operate at the intersection of bbusiness strategy × AI/Data × engineering × leadership /b—moving comfortably from boardroom discussions and executive workshops to architecture decisions, engineering teams, AI prototypes, transformation roadmaps and commercial conversations. /p h3Your

Key Responsibilities
/h3 pYou will lead complex Data AI engagements from first conversation through implementation and value realisation. You will work directly with C-level and senior stakeholders, structure ambiguous problems, shape transformation roadmaps and turn business priorities into secure, scalable technology solutions. /p ul libLead with outcomes. /b Own major AI Transformation, Digital Transformation and Data AI programmes, keeping business value, adoption, governance and delivery quality in view. /li libShape the answer. /b Define AI Strategy, Data Strategy, target operating models, transformation roadmaps and investment priorities with senior client leaders. /li libDesign for scale. /b Guide AI Architecture, Data Architecture, cloud-native architectures and modern Data Platforms, including integration, APIs, streaming and event-driven patterns. /li libStay close to the build. /b Oversee—and where relevant contribute to—solution design, prototypes and engineering decisions across Generative AI, LLMs, RAG, AI Agents, Machine Learning, MLOps and LLMOps. /li libLead multidisciplinary teams. /b Bring together AI Engineering, Data Engineering, architecture, product, industry, change and governance specialists; coach them and create the conditions for exceptional work. /li libBuild trust into delivery. /b Embed AI Governance, Responsible AI, security, data quality and human oversight without slowing innovation. /li libGrow the business. /b Build trusted client relationships, identify new opportunities, shape compelling proposals and expand our work with existing and new clients. /li /ul pYou will not simply join an established team—you will help shape what we become. Working with the practice leadership, you will turn market signals and delivery experience into differentiated capabilities that clients can understand, buy and scale. /p ul liCreate new AI Data offerings and sharper client propositions. /li liDevelop reusable accelerators, reference architectures and delivery assets. /li liHelp shape our forward-deployed AI Engineering model: compact, senior teams working side by side with clients to move rapidly from problem to production. /li liStrengthen our AI Engineering and Data Engineering capabilities, standards and communities. /li liRecruit exceptional talent and develop consultants, engineers and future leaders. /li liBuild strategic alliances and activate our technology ecosystem. /li liCreate thought leadership and support focused go-to-market activity. /li liHelp set the future direction, investment priorities and market position of the practice. /li /ul h3Your Profile /h3 pYou may currently be a Senior Manager AI, Senior Manager Data, AI Consultant, AI Architect, engineering leader or Technology Consulting leader. Titles matter less than the range you can cover: strategy through implementation, client leadership through engineering depth, and delivery through commercial growth. /p ul liTypically 5-8+ years of relevant professional experience in AI, Data, technology consulting or enterprise transformation, including responsibility for complex client engagements and multidisciplinary teams. /li liStrong engineering fundamentals and the credibility to challenge architecture, delivery choices and technical trade-offs. /li liPractical knowledge across Generative AI and GenAI, Agentic AI, AI Agents, prompt engineering, RAG, AI application development, Machine Learning, MLOps or LLMOps. /li liExperience with Data Engineering, Data Architecture, data products, governance, quality, integration, APIs, streaming, data lakes or lakehouses. /li liFamiliarity