AI Transformation & Process Excellence Consultant

• Advanced Data Analytics Techniques: Proficient in Machine Learning, Deep Learning and Generative AI.
• Strong programming skills in languages such as Python, with the ability to write, optimize, and troubleshoot code for data analysis and model development.
• Experience with SQL and relational databases to fully leverage information.
• Experience in Data & AI, management consulting or related business transformation
• Previous usage of AI-assisted analytics, visualization, or benchmarking tools (e.g. Platform Native AI capabilities).
• Experience in deploying models into production environments and integrating them into existing business processes, ensuring seamless implementation of AI solutions.
• You have previously delivered project work in consulting environment OR industry experience in at least one domain (e.g., Banking/Capital Markets, Insurance, Software and Platforms, Communications and Media, High Tech, Health, Public Service, Life Sciences, Consumer Goods Retail and Travel, Industrial, Energy, Utilities or Chemical and Natural Resources) OR worked within
• Ability to analyze data and translate findings into structured recommendations
• Fluency in Spanish and high level of understanding and communicating in English

• Experience working in cloud environments (Microsoft Azure, Amazon Web Services, Google Cloud Platform).
• Proficiency with Git and software development best practices.
• Familiarity with process mapping or process modeling tools
• Strong analytical skills with the ability to communicate complex findings in clear business terms/structured recommendations
• Client-facing consulting or advisory experience
• Applies AI tools fluently and independently, including building agents, for higher-quality deliverables to business problems
• Embeds AI Design principles into process specifications (agent behaviors, autonomy levels, handoffs)
• Identifies where agentic AI can transform specific client process steps and articulates design implications
• Uses AI-assisted analytics, visualization, and benchmarking tools to ground future-state designs
• Demonstrated continuous learning with emerging AI tools

• Bachelor's Degree or equivalent

We are looking for experienced Knowledge Graph Engineers to join our Data & AI practice in Spain.

This role is available in Madrid or Barcelona and follows a hybrid working model, combining remote work with in-office collaboration to foster innovation, knowledge sharing, and close teamwork.

You produce solid analytical work - assessing trends and forces shaping your industry or function, designing future-state processes, and building the supporting materials that help senior practitioners shape transformation recommendations. You're developing real expertise in your domain and a point of view on how AI and automation can change the way it operates. You're comfortable working with structured guidance while taking on more with each engagement.

You understand that designing how AI agents interact within processes - AX Design - is just as important as the process design itself, and you're starting to apply those principles in your work.

We are looking for a Data Scientist. A talented, collaborative person willing to bring added knowledge to our Applied Intelligence team. If you thrive working with top clients in the evolution of their data & AI journey... then, we'd like to meet you!

Utilize relevant AI tools across all tasks and deliverable creation, including the creation of agents and other tools to help facilitate:

• Produce trend and forces assessments for your assigned industry or function, including benchmarking analyses that show where the client stands relative to peers and where the reinvention opportunity lies.
• Design future-state process specifications covering AI integration points, operating model changes, human-machine interaction requirements, and workforce adoption approaches for your domain area.
• Combine delivery team leadership and delivery execution, paired with active participation in commercial proposals.
• Develop change-impact assessments using AI-assisted organizational analysis tools.
• Apply your industry or function knowledge to review and improve domain-specific reinvention designs and functional playbook content.
• Apply AX Design principles when specifying or reviewing AI integration designs - defining how AI agents should behave within each redesigned process step, what they handle autonomously, and when they hand off to a person.