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Data Strategist AI

Trabajo disponible en: 04810, Madrid, Andalucia, España
Empresa: Publicis Groupe
Tiempo completo puesto
Publicado en 2026-10-13
Especializaciones laborales:
  • TI/Tecnología
    Analista de datos, Inteligencia Artificial, Científico de datos, Ingeniero de datos
Rango Salarial o Referencia de la Industria: 90000 - 120000 EUR Anual EUR 90000.00 120000.00 YEAR
Descripción del trabajo
Company description

Publicis Groupe, the world's second largest communications group, is a solutions platform that is present in more than 100 countries and has more than 98,000 employees. With a unique work philosophy, The Power of One puts clients at the center by promoting the growth of their business through creative agencies (Publicis, Leo Burnett, Publicis Health), media (Zenith, Starcom, Spark and Performics), and areas of transversal knowledge.

Publicis Groupe links Creativity, Technology and Data offering a value proposition that effectively connects brand and consumer.

Overview

We are looking for a highly strategic Data Strategist, AI to define how data is leveraged, governed, and activated across AI-powered solutions. This role will serve as the bridge between business, data, and artificial intelligence, ensuring that diverse data assets are transformed into actionable intelligence that drives better decision-making, customer experiences, and business outcomes.

The ideal candidate combines deep expertise in data strategy and marketing intelligence with a strong understanding of AI, machine learning, and emerging technologies. They will collaborate closely with Data, AI, Product, Engineering, and Business teams to shape the data foundations that power next-generation AI solutions.

Responsibilities Data Strategy & Leadership
  • Define and evolve the global data strategy that supports AI-driven products, solutions, and capabilities.
  • Develop strategic frameworks for sourcing, integrating, enriching, and activating data across multiple ecosystems.
  • Identify opportunities to maximize the value of first-party, third-party, media, transactional, attitudinal, and identity data.
AI & Product Enablement
  • Partner with AI, Product, and Engineering teams to ensure data strategies support Machine Learning, Generative AI, and advanced analytics initiatives.
  • Translate business and client objectives into scalable data requirements that enable intelligent decision-making.
  • Influence AI roadmap priorities by identifying opportunities and gaps within the current data ecosystem.
Data Architecture & Intelligence Frameworks
  • Lead the design and evolution of taxonomies, ontologies, signal frameworks, and data models that enable consistent intelligence across global markets.
  • Establish best practices for data quality, standardization, and interoperability.
  • Define measurement and intelligence frameworks that drive marketing effectiveness and business performance.
Governance & Responsible AI
  • Promote data governance, privacy, security, and responsible AI principles across all initiatives.
  • Ensure compliance with global data regulations and organizational standards.
  • Support the development of governance frameworks that balance innovation with risk management.
Strategic Advisory
  • Serve as a trusted advisor to internal stakeholders and clients on data maturity, data readiness, and AI enablement.
  • Communicate complex data concepts in a clear and compelling way to senior business leaders.
  • Drive alignment across technical and non-technical teams in a complex, global environment.
Qualifications Experience
  • 7-10+ years of experience in Data Strategy, Analytics Strategy, Marketing Intelligence, or a related consulting role.
  • Proven experience developing and executing data strategies in global or multi-market organizations.
  • Experience working across complex data ecosystems and multiple data sources.
  • Strong track record of collaborating with Data Science, Engineering, and Product teams.
Technical Expertise
  • Deep understanding of media, customer, transactional, attitudinal, and identity data ecosystems.
  • Strong knowledge of Artificial Intelligence, Machine Learning, Generative AI, and Advanced Analytics.
  • Experience designing data frameworks, taxonomies, data…
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