AI Strategy Consultant

ppMore and more organizations are eager to adopt AI. However, many lack a clear strategy, leading to inefficiencies, missed opportunities and increased risks. While technical challenges like model selection, data readiness and scalability are critical, organizations also need guidance on strategic topics such as governance, AI literacy, operational impact and business alignment. /p pAt Dataroots, we don’t just build data solutions. We make sure our customers are empowered to use them to their fullest potential. /p pWe’re a scale-up with a big vision, which means you’ll thrive in an entrepreneurial environment where your ideas matter. Here, you’ll have the chance to help shape new offerings, identify growth opportunities, and make a real impact—not just in the tech you create, but in the way companies think about their data. If you’re passionate about modern data management, love the idea of working on projects that challenge the status quo, and want to be part of a team building a better future with data, Dataroots is the place for you. /p pReady to make an impact? Let’s grow together /p h3What you can expect at Dataroots /h3 pSince its inception in 2016, Dataroots has been dedicated to enhancing its customers' operations through superior data-driven methodologies. We prioritize the well-being and development of our team, fostering an environment of diversity and continuous learning. By joining us, you'll not only contribute to our growth but also enjoy a nurturing and innovative work environment. Learn more about our philosophy at ( /p h3The Job /h3 pAs an AI Strategy consultant, you will combine client and internal

responsibilities:
/p h3Client-facing /h3 ul liDrive workshops and strategic discussions to understand how AI can support the business ambitions. /li liEducate management and teams on AI’s transformative potential, technical and organizational considerations and risks. /li liLead the identification and development of high-impact AI opportunities, translating cutting‑edge advancements into actionable business use cases that drive real value. /li liAdvise on the latest LLM developments, emerging technologies and key industry players, ensuring strategic decision‑making is informed by the latest AI innovations. /li liCommunicate and advise on AI’s business value through compelling narratives, strategic roadmaps and advisory support for leadership and clients. /li liOversee and ensure successful execution of AI projects, managing risk, timelines and stakeholder expectations to maximize impact. /li liAlign AI initiatives with clients’ broader business strategies, ensuring AI‑driven solutions integrate seamlessly into their operations, innovation roadmaps, and long‑term objectives. /li liDrive AI adoption, upskilling efforts and culture shifts, ensuring teams understand and embrace AI responsibly. /li /ul h3Internal /h3 ul liSupport business development efforts, contributing to proposals, pre‑sales engagements and strategic AI consulting to expand market opportunities. /li liTake ownership of internal knowledge sharing and training initiatives, ensuring our teams stay at the forefront of AI advancements and best practices. /li /ul h3Soft Skills /h3 ul liStrong communication skills to engage with technical and non‑technical stakeholders. /li liProblem‑solving analytical mindset with the ability to translate business needs into data solutions. /li liCustomer‑centric mindset: Passion for helping clients succeed, with a willingness to go the extra mile to ensure satisfaction. /li liLeadership and collaboration skills to drive projects forward in a multidisciplinary team. /li liAbility to adapt to fast‑changing environments and embrace continuous learning. /li liFluency in English and Dutch OR French is a must. /li /ul h3Technical Skills /h3 ul liStrong understanding of Large Language Models (LLMs) (e.g., GPT, Claude, Gemini, Llama) and their strengths, limitations and practical applications. /li liKnowledge of vector databases, embeddings and memory architectures for AI‑powered search and retrieval. /li liKnowledge of topics like prompt engineering, fine‑tuning and retrieval‑augmented generation (RAG). /li liHands‑on experience with SQL and/or Python. /li liUnderstanding of data governance and its impact on (Gen) AI efficiency. /li liAbility to translate technical AI concepts into business value. /li liExperience with AI strategy development, roadmap planning and stakeholder communication. /li liFamiliarity with AI adoption frameworks and change management strategies. /li liExperience designing and delivering AI training programs, workshops and learning materials for consultants and business leaders. /li /ul h3The Offer /h3 pAn attractive salary with extralegal benefits, including: /p ul liMobility budget or a company car with fuel/charging card /li liHospitalization and group insurance /li liHigh‑end laptop /li liSmartphone with subscription /li liSubstantial amount of holidays /li liMeal vouchers /