(Senior) Manager - AI & Data - Industries

The Opportunity: Your Next Adventure Awaits? 

AI 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.

We 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.

This is an opportunity to build, not just to manage. 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 business strategy × AI/Data × engineering × leadership—moving comfortably from boardroom discussions and executive workshops to architecture decisions, engineering teams, AI prototypes, transformation roadmaps and commercial conversations.

Your Key Responsibilities

You 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.

• Lead with outcomes. Own major AI Transformation, Digital Transformation and Data & AI programmes, keeping business value, adoption, governance and delivery quality in view.
• Shape the answer. Define AI Strategy, Data Strategy, target operating models, transformation roadmaps and investment priorities with senior client leaders.
• Design for scale. Guide AI Architecture, Data Architecture, cloud-native architectures and modern Data Platforms, including integration, APIs, streaming and event-driven patterns.
• Stay close to the build. Oversee—and where relevant contribute to—solution design, prototypes and engineering decisions across Generative AI, LLMs, RAG, AI Agents, Machine Learning, MLOps and LLMOps.
• Lead multidisciplinary teams. Bring together AI Engineering, Data Engineering, architecture, product, industry, change and governance specialists; coach them and create the conditions for exceptional work.
• Build trust into delivery. Embed AI Governance, Responsible AI, security, data quality and human oversight without slowing innovation.
• Grow the business. Build trusted client relationships, identify new opportunities, shape compelling proposals and expand our work with existing and new clients.

You 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.

• Create new AI & Data offerings and sharper client propositions.
• Develop reusable accelerators, reference architectures and delivery assets.
• Help shape our forward-deployed AI Engineering model: compact, senior teams working side by side with clients to move rapidly from problem to production.
• Strengthen our AI Engineering and Data Engineering capabilities, standards and communities.
• Recruit exceptional talent and develop consultants, engineers and future leaders.
• Build strategic alliances and activate our technology ecosystem.
• Create thought leadership and support focused go-to-market activity.
• Help set the future direction, investment priorities and market position of the practice.

Your Profile

You 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.

• Typically 5-8+ years of relevant professional experience in AI, Data, technology consulting or enterprise transformation, including responsibility for complex client engagements and multidisciplinary teams.
• Strong engineering fundamentals and the credibility to challenge architecture, delivery choices and technical trade-offs.
• Practical knowledge across Generative AI and GenAI, Agentic AI, AI Agents, prompt engineering, RAG, AI application development, Machine Learning, MLOps or LLMOps.
• Experience with Data Engineering, Data Architecture, data products, governance, quality, integration, APIs, streaming, data lakes or lakehouses.
• Familiarity with Cloud platforms and technologies such as Microsoft Azure, AWS or Google Cloud; Databricks, Microsoft Fabric or Snowflake; and languages such as Python and SQL.
• A strong strategic and commercial mindset: you can link technology choices to value, shape opportunities and earn trust with senior stakeholders.
• Clear, confident communication and the ability to facilitate executive workshops and make complex topics understandable.
• An entrepreneurial drive to build offerings, teams, relationships and market relevance—not only deliver projects.
• Curiosity, humility and the ability to learn rapidly. We value breadth, depth and judgement over a checklist of tools.
• A background in Computer Science, Engineering, Data Science, AI, Mathematics, Business Engineering or a related discipline can be valuable, but equivalent experience is equally relevant.
• Professional fluency in English is essential; Dutch and/or French is an advantage in the Belgian market.
• We are expanding our work in Industrial Data, IT/OT integration, Smart Factory, Manufacturing, Supply Chain and Intelligent Operations. Experience with IoT, Industrial AI, shop-floor data, data contextualisation or digital twins is a strong advantage. It is not a prerequisite; what matters is your ability to understand operational reality and engineer solutions that work beyond the demo.

What’s In It For You

• EY Family – you become part of the EY Family providing you with all the necessary skills, training and opportunities; enabling you to grow to your fullest potential.
• Attractive remuneration package - We offer an attractive remuneration package; including a company car and charging card, iPhone plus subscription, health insurance, pension plan, meal vouchers, and eco vouchers.  Thanks to our flex plan it is possible to choose what you value most. 
• Mobility package - You’ll be able to opt-in for the mobility budget. In return for giving up your (right to a) company car, you’ll receive a monthly budget from EY as compensation. This budget will allow you to use your employer-provided compensation for alternative transportation means or similar benefits, incl. reimbursement of housing costs (on condition you live within 10km of your main place of employment).
• Flexible working arrangements - We are proud of our flexible working arrangements. We will actively support you in building a successful career and delivering excellent client service without sacrificing your personal priorities. We offer flexible working hours and working from home multiple days per week is possible.
• Inspiring work environment - At EY we are dedicated to providing you with an inspiring work environment. A work environment that allows you to further develop your skills and enables you to fulfill your true potential.
• Learning & personal growth - You will benefit from an onboarding program, receive extensive training and will be coached by a counselor. We offer a clear career path tailored to your unique skills with necessary guidance. 
• Fun - By joining our EY- teams, you can participate in team activities, and companywide events and enjoy a drink during our monthly after-work drink. 
• Sustainability - We have a fleet of hybrid and electric cars. Our flex plan makes it possible for you to choose the most sustainable option for you. You can also opt for a train subscription or lease a bike.
• Diversity & Inclusion - At EY we are passionate about the inclusion and support of individuals of all groups; we do not discriminate on the basis of race, religion, gender, sexual orientation, or disability status.
• Location - All of our offices are easily accessible by public transport and/or by car and have parking space. They all have parking spaces and charging stations are provided.
• Artificial Intelligence – stay up to date with the latest AI trends through our extensive training opportunities and integrated AI systems. You’ll learn how to leverage AI in a smart and efficient way in your day-to-day work, while developing skills to identify, quantify and track value creation when integrating AI into client environments.  

Here at EY, you’ll have the chance to build a truly exceptional experience. We’ll empower you with the latest technology, surround you with high-performing teams, and provide the global scale and diverse and inclusive culture you need to discover your full potential. Through our coaching and training programs, you’ll develop the skillsets you need to stay relevant today and in the future – all while building a network of colleagues, mentors, and leaders who will be on the journey with you at EY and beyond.