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Data Strategist AI

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What you’ll work on

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  • Define and evolve the global data strategy for AI-driven products and solutions

  • Lead design of taxonomies, ontologies, signal frameworks and data models

  • Partner with AI, Product and Engineering to support ML and GenAI initiatives

  • Promote data governance, privacy, security and responsible AI across initiatives

  • Advise internal stakeholders and clients on data maturity and AI readiness

From the employer’s posting
Define and evolve the global data strategy that supports AI-driven products, solutions, and capabilities
Lead the design and evolution of taxonomies, ontologies, signal frameworks, and data models
Partner with AI, Product, and Engineering teams to ensure data strategies support Machine Learning, Generative AI, and advanced analytics initiatives
Promote data governance, privacy, security, and responsible AI principles across all initiatives
Serve as a trusted advisor to internal stakeholders and clients on data maturity, data readiness, and AI enablement
Apply at Publicis Groupe

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20262 days ago
Recorded sightings
4
Last seen by us
Nov 8, 2026
Employer says posted
Oct 6, 2026

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Day 2

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Publicis Groupe is hiring

225 open jobs

Open jobs by the week we first saw them, last 12 weeks.

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Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 789, the most 1,205, and the latest week had 836.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

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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 models, and governance structures. Familiarity with Customer Data Platforms (CDPs), identity resolution, and measurement frameworks. Understanding of data privacy regulations and responsible AI practices. Knowledge of modern data architectures and data activation strategies. Skills & Competencies Strong strategic and analytical thinking. Ability to translate complex data challenges into business value. Excellent communication and stakeholder management skills. Experience influencing and driving change without direct authority. Strong consulting mindset with a problem-solving approach. Comfortable operating in fast-paced, global, and highly collaborative environments. Preferred Qualifications Experience leading or influencing enterprise-wide or global data strategy initiatives. Background in media, marketing services, consulting, technology platforms, or digital transformation. Experience developing Data Governance and Responsible AI frameworks. Knowledge of customer intelligence, marketing intelligence, and measurement ecosystems. Experience supporting AI and GenAI product development initiatives. Exposure to data-driven transformation programs at scale. Additional information Why join us? Because we offer reasons such as: 🌟 Flexible Benefits (Coverflex): Enjoy more than just work with flexible compensation including meal vouchers, health insurance, transportation, and more. 🚀 Growth Opportunities: You can advance in your career not only through the experience of working with major clients but also by accessing local and global training programs specialized according to your role, covering both technical and soft skills. 📚 Free Online Training: You can access unlimited courses from LinkedIn Learning and Udemy Catalogs through our artificial intelligence platform "Marcel". 🥇 Partner Certifications: You'll have the opportunity to obtain certifications from industry giants such as Meta, Google, or Amazon. 🌍 Work from anywhere: Telecommute up to 6 weeks from over 100 countries with our #WorkYourWorld program. 🎉 Attractive holidays package including your birthday & Advertising Day off plus some additional days off. Rest is also important! 🧘🏻‍♂️ Well-being: We prioritize the well-being of our staff and organize various health initiatives such as daily meditation or yoga among others. Employee benefits are an integral part of the company’s annual compensation package. These benefits are subject to the company’s current policies and guidelines and may be modified, updated, or adjusted at the company’s discretion to reflect organizational needs, regulatory requirements, or business conditions. We are certified as a Great Place to Work, your happiness and providing you with an outstanding experience means a lot to us, let's enjoy! Here at Publicis Groupe, we are committed to building a culturally diverse workforce and therefore strongly encourage applications from underrepresented groups. We are committed to equality of opportunity and welcome applications from all individuals, regardless of their background: we do not discriminate on the basis of race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, marital status, or any individual´s status in any group or class protected by law. If you have any reasonable adjustment needs arising from a disability or medical condition to fully participate in the recruitment process, please discuss this with the recruiter who contacts you. All employees are committed to complying with obligations regarding Information Security and Technologies, obligations related to the use of Artificial Intelligence, obligations stemming from the Quality and Environmental Management System, as well as obligations derived from the Integrity Management System, Corruption Prevention, and the Anti-Bribery and Anti-Corruption Policy. Furthermore, all employees are required to complete mandatory training courses, declarations, and compliance commitments in these areas.
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Madrid, ES

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