Senior Manager, Data Science & Analytics (Media Mix Modelling)

Lead the design, development, and deployment of marketing analytics solutions, including cross-channel attribution, budget optimization, and scenario planning that guide where and how marketing invests. Build and scale agentic AI systems for marketing analytics—autonomous and semi-autonomous agents that ingest data, run models, generate insights, and recommend or execute budget and channel decisions under human oversight. Apply machine learning, causal inference, Bayesian methods, and generative AI to quantify marketing effectiveness, isolate incrementality, and continuously improve ROI across brands and channels. Act as a thought leader and subject-matter expert on marketing mix modeling, marketing ROI, and agentic AI, providing strategic guidance to senior commercial, brand, and technology stakeholders. Partner with commercial, brand, media, finance, and technology teams to align marketing analytics and AI initiatives with business and portfolio objectives. Lead and mentor a team of data scientists and marketing analysts, fostering technical excellence, agentic-AI fluency, and professional growth. Establish and maintain reusable analytics assets and agent frameworks, scalable pipelines, and best-practice standards (e.g., MLOps, LLMOps and agent orchestration, model governance, and AI lifecycle management). Translate complex modeling outputs into clear, decision-ready marketing ROI narratives for both technical and non-technical audiences, including senior leadership. Stay current with emerging trends in agentic AI, generative AI, marketing measurement, and cloud platforms, proactively identifying opportunities to raise marketing ROI and analytics maturity. Contribute to planning, prioritization, and change management for marketing analytics and AI initiatives across multiple stakeholders and markets.