. TSQL Machine Learning Tableau Office Teletreball

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Head of AI & Data Science in Spain. We are seeking a visionary leader to define and execute a cutting-edge AI and Data Science strategy that transforms...
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Head of AI & Data Science in Spain.

We are seeking a visionary leader to define and execute a cutting-edge AI and Data Science strategy that transforms data into measurable business value. This role is responsible for overseeing the full lifecycle of AI projects, from prototyping to production, and integrating autonomous AI agents into corporate systems. You will build and mentor a high-performing team, establish best practices for AI deployment, and create a culture of experimentation and rapid innovation. The ideal candidate thrives in a fast-paced environment, combining technical expertise, strategic thinking, and practical execution to deliver impactful AI solutions across the organization.

Accountabilities

  • Develop and implement a company-wide AI vision that aligns with business objectives.
  • Design, deploy, and maintain autonomous AI agents integrated with platforms such as Tableau, SQL, Slack, and CRM systems.
  • Lead the full AI project lifecycle, ensuring architecture quality, production stability, and performance monitoring.
  • Establish automated evaluation loops to track accuracy, hallucinations, and model performance.
  • Optimize data and semantic layers for advanced analytics and Text-to-SQL systems.
  • Foster a “lab culture” that encourages hypothesis testing, rapid experimentation, and continuous learning.
  • Mentor and guide the AI & Data Science team, promoting best practices and technical excellence.

Requirements

  • Proven experience managing end-to-end machine learning or AI projects from discovery to deployment.
  • Deep understanding of LLMs, RAG, and agent-based architectures, including their limitations and best practices.
  • Expertise in database design, analytics engineering, and AI-friendly infrastructure.
  • Ability to prioritize work based on business impact, technical feasibility, and resource constraints.
  • Skilled in defining KPIs and translating AI metrics into business outcomes for stakeholders.
  • Strong leadership, communication, and organizational skills with experience mentoring teams.
  • Familiarity with AI tools for tracing, logging, and optimization, as well as classical data science methods (regression, classification, clustering) where applicable.

Benefits

  • Competitive salary and comprehensive benefits.
  • Flexible remote or office work arrangements.
  • Paid vacation, public holidays, and sick leave.
  • Health insurance, including mental health support.
  • Personal development budget for courses, workshops, and training.
  • Participation in team-building events, workshops, and corporate activities.
  • Collaborative and innovative work environment with a focus on growth and experimentation.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

No et perdis res!

Uneix-te a la comunitat de wijobs i rep per email les millors ofertes d'ocupació


Mai no compartirem el teu email amb ningú i no t'enviarem correu brossa

Subscriu-te ara

Darreres ofertes d'ocupació de Científic/a de Dades a Madrid

Quest Global

Madrid, ES

¿Nos ayudas a resolver los mayores desafíos de ingeniería? En Quest Global creemos que la ingeniería tiene el poder único...

Data scientist

3 d’abr.

Bending Spoons

At Bending Spoons, we’re striving to build one of the all-time great companies. A company that serves a huge number of...

Santander

Madrid, ES

Country: Spain DATA SCIENTE TALENT PROGRAM ¿Te apetece arrancar tu carrera profesional en Data Analytics, adquiriendo...

IZERTIS

Madrid, ES

Desde Izertis , buscamos ampliar nuestro equipo con la incorporación de un/a Científico/a de Datos para formar parte de...

Data Scientist

26 de març

Kairós Digital Solutions S.L.

Madrid, ES

¡ÚNETE AL EQUIPO COMO DATA SCIENTIST! ¿Quieres formar parte de una organización que apuesta por el cuidado de las...

NTT DATA Europe & Latam

NTT Data somos todas las personas que la formamos. Un equipo de más de 139.000 profesionales, tan diverso cómo diversos...

Data Scientist

25 de març

Securitas Direct, part of Verisure

¡Dale un aire nuevo a tu vida y sigue creciendo en tu carrera dentro de SECURITAS DIRECT! ¿Quiénes somos? Somos líderes...

NTT DATA Europe & Latam

Madrid, ES

NTT Data somos todas las personas que la formamos. Un equipo de más de 139.000 profesionales, tan diverso cómo diversos...