Devoteam
Information Technology And Services
Data&AITransformationConsultant
Neural analysis suggests this role is
optimal for mid candidates.
“Data & AI Transformation Consultant at Devoteam. Skills: AI Strategy, Data Governance, Digital Transformation, Stakeholder Management. Lead workshops with business stakeholders. Identify, structure, and prioritize AI use cases”
What You'll Achieve.
AI initiatives are impactful, ethical, and scalable; Measurable impact and ROI; Ensure alignment with regulatory, ethical, and security requirements; Operationalize initiatives; Track value, adoption, and real-world impact of AI projects
Industry & Context.
Translate complex business challenges into AI opportunities
What They're Looking For.
Must Have
3 to 5 years of professional experience in Data & AI strategy, digital transformation, technology consulting, or innovation program management, Proven track record in leading discovery processes and workshops with business stakeholders across different hierarchical levels, Solid experience in defining or implementing governance models (policies, processes, and controls), specifically for AI or Data environments, understanding of AI/ML fundamentals, including LLMs, RAG, AI Agents, Fine-tuning, and Prompt Engineering, Ability to articulate business needs with technical data teams is essential, Knowledge of AI operating models (centralized, federated, or hybrid) and experience in conducting maturity assessments, Familiarity with frameworks and regulations such as the EU AI Act, GDPR, and NIST AI RMF, Bachelor’s or Master’s degree in Business, Engineering, or a related field, Fluency in English is mandatory
Nice to Have
Experience with organizational change methodologies (e.g., ADKAR or Kotter) is highly valued, Experience in highly regulated sectors (Banking, Insurance, Healthcare, or Utilities) is a significant plus, Familiarity with Cloud platforms and Data/AI ecosystems (Azure, AWS, GCP, Databricks, Microsoft Fabric, etc.)
What You'll Do.
Lead workshops with business stakeholders
and prioritize AI use cases
Translate business challenges into AI opportunities
Design AI Governance models
Assess data maturity and organizational readiness
Define AI-driven transformation roadmaps
Align with regulatory
and security requirements
Collaborate with Data
and Cybersecurity teams
Establish metrics to track AI project value
How You'll Work.
Team & Collaboration
Collaborating with Data, Analytics, Architecture, and Cybersecurity teams; Workshops with business stakeholders
Process & Methodology
Innovation program management
Full Job Description
At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better. As a Data & AI Transformation Consultant, you will play a pivotal role in helping our clients navigate the complexities of the artificial intelligence landscape. You will bridge the gap between business strategy and technical execution, ensuring that AI initiatives are impactful, ethical, and scalable. Your main responsibilities will include: * Leading workshops with business stakeholders to identify, structure, and prioritize AI and GenAI use cases. * Translating complex business challenges into AI opportunities with measurable impact and ROI. * Designing and implementing AI Governance models, covering ownership, policies, control processes, risk management, and Responsible AI principles. * Assessing data maturity and organizational readiness for AI adoption, identifying gaps and strategic opportunities. * Defining AI-driven transformation roadmaps and ensuring alignment with regulatory, ethical, and security
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