Director, AI Powered Measurement

Director, AI Powered MeasurementPublicis 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.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 MRCL team 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.The 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.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 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 creation.Strong background in the marketing technology (MarTech) or advertising technology (AdTech) space, with familiarity in areas such as programmatic media, campaign optimization, customer data platforms, and creative automation.Familiarity with advertising ecosystem dynamics, including DSPs, SSPs, CDPs, marketing clouds, and agency workflows.Familiarity with AI/ML, APIs, and developer platforms; ability to translate technical capabilities into differentiated user experiences in marketing and advertising applications.Familiarity with data processing principles and visualization (e.g., pandas/NumPy, PowerBI), deep learning frameworks (e.g., TensorFlow/PyTorch), model operations management (e.g., MLFLow, Spark MLib), and agentic frameworks (e.g., LangChain / LangGraph).Strong execution background with a record of shipping complex platform products.Excellent communication and stakeholder management skills, with the ability to influence at executive and technical levels.Experience with data programming languages, namely SQL and/or Python.Entrepreneurial mindset with comfort operating in a fast-moving, ambiguous environment.Compensation Range: USD $135,375.00 - USD $216,684.00/Annually.