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Tier-1 brand and metro location but niche MMM/agentic-AI specialization limits applicant density.
Marketing mix modelling and agentic-AI expertise are transferable across industries but require marketing domain knowledge.
Explicit 9+ years, 2+ years leadership, STEM degree, and mandatory ML/agentic-AI skills imply high selectivity.
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Lead design, development, and deployment of marketing mix modeling, multi-touch attribution, and AI-driven marketing ROI optimization solutions.
Build and scale agentic AI systems for autonomous marketing analytics and budget/channel decision-making under human oversight.
Partner with cross-functional teams and mentor analytics staff to translate complex data into actionable marketing ROI insights and guide marketing investment decisions.
9+ years experience in advanced analytics focused on marketing mix modeling, marketing ROI, or multi-channel marketing analytics.
2+ years in leadership roles managing analytics teams and cross-functional projects.
STEM degree with quantitative emphasis (Statistics, Computer Science, Engineering, Mathematics, Economics).
Expert-level proficiency in Python, SQL, and marketing analytics platforms with hands-on experience in AI/agentic solution development.
Strong background in advanced marketing analytics including causal inference, optimization, and experimentation.
Experience and enthusiasm for emerging agentic AI systems, generative AI, and MLOps/LLMOps in marketing contexts.
Proven ability to operate in global, matrixed environments and bridge data science, technology, and commercial strategy to impact marketing spend decisions.