Director, AI Powered Measurement

Company Description Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals.

Overview With our investments in Epsilon, Sapient, Marcel, and now MRCL, we power creative and media personalization at scale for our clients. Our MRCL team is an accelerant at the center of the Groupe and partners with Groupe leaders in the development of our core agentic platform, allowing Publicis to win or retain strategic accounts with industry-leading data, tech, audience, and analytics solutions.

What is MRCL?

MRCL is Publicis Groupe’s AI-powered data and intelligence platform that brings together the Groupe’s owned and acquired assets and data into one AI-enabled engagement layer. The MRCLteam leads strategy, development, and delivery of the platform: enhancing our agency talent with the highest fidelity data and best applications to power personalization and brand growth.

Responsibilities Our Director, AI Powered Measurement will drive the strategy, development, and execution of marketing measurement capabilities within MRCL. This role is central to empowering advertisers, marketers, and agency partners with advanced insights that optimize spend, improve campaign performance, and demonstrate ROI across the entire connected marketing ecosystem. The ideal candidate combines expertise in product strategy, AI-driven marketing workflows, KPIs & performance tracking, analytical modeling and attribution capabilities with proven leadership in bringing complex products to market.

As a leader in our CoreAI platform team, this role:

• Has the opportunity to shape the data foundation for the Groupe’s strategic asset, and
• priority investment focus.
• Will collaborate with the strongest AI developers, engineers, and data scientists in the
• marketing and advertising space
• Join and help grow a focused and performance-driven environment where data excellence
• fuels innovation in marketing and advertising AI.

The Key Responsibilities

• Define and lead the product vision and roadmap for AI-driven marketing measurement
• capabilities, aligning with business strategy and customer needs.
• Partner with data science and engineering teams to design scalable measurement
• methodologies across the paid, earned, shared, and owned marketing ecosystem e.g.,
• incrementality testing, attribution modeling, and ROI forecasting.
• Translate complex technical concepts into marketer-friendly tools and insights tailored for
• different end users (brand marketers, agency planners, CMOs, industry verticals).
• Collaborate with clients and industry partners to establish next-generation measurement
• standards in marketing (creative, media) effectiveness and cross-channel attribution tied to
• business outcomes.
• Identify potential risks to product development and propose mitigation strategies, while
• ensuring Ensure compliance with privacy regulations and evolving data governance
• standards in all product development.
• Lead cross-functional teams to deliver best-in-class UX for measurement dashboards,
• reporting and forecasting APIs, and real-time insights.
• Monitor competitive trends and emerging technologies in AI, marketing analytics, and ad
• measurement to inform product strategy.
• Partner with commercial and customer success teams to craft go-to-market strategies and
• deliver feedback-driven product improvements.
• Work with group partners to define and monitor key performance indicators (KPIs) that
• measure the adoption and business impact of the developed and deployed AI-driven
• measurement capabilities.

Qualifications

• 8+ years of product management or product leadership experience, ideally in ad tech,
• martech, or marketing analytics platforms.
• Deep and applied knowledge understanding of media measurement methodologies,
• including MTA (multi-touch attribution), MMM (marketing mix modeling), and
• causal/incrementality testing.
• Demonstrated experience building or integrating complex, technology-enabled AI/ML-driven
• products with proven value crea…