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Job Title: Manager – AI & Data Science Location: India (Remote/Hybrid) Reports To: Director – AI & Data Science / Engagement LeadAbout the Role We are seeking a skilled and proactive Manager – AI & Data Science to lead day-to-day delivery, innovation, and client engagement for our AI-driven marketing measurement and optimization programs (including MMO and IMT/ MIO). The role requires a hands-on leader who can manage a high-performing team, ensure flawless execution, and contribute to ongoing enhancement of AI/ML solutions that drive value for our clients and their partners.Key ResponsibilitiesProject Leadership: Oversee delivery of AI/ML solutions, including Media Mix Optimization (MMO), Intelligent Media Targeting (IMT/MIO), and related marketing analytics initiatives.Client Engagement: Act as the primary point of contact for operational matters, collaborating closely with client stakeholders, media teams, and partner agencies.Solution Delivery: Ensure on-time, high-quality delivery of models, insights, and tools; manage model development, testing, deployment, and monitoring.Team Management: Lead and mentor a team of data scientists and analysts, fostering a culture of excellence, innovation, and accountability.Operational Excellence: Drive process improvements, documentation, and adoption of best practices across MLOps, data engineering, and analytics workflows.Innovation: Support the evolution of the company's AI product suite, contributing ideas and driving proof-of-concept initiatives (e.g., agentic AI, automation modules).Required QualificationsMaster’s or Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or related field.8-10 years of experience in AI/ML, data science, or advanced analytics, including 3+ years in a managerial or technical leadership role.Demonstrated experience delivering AI/ML solutions in marketing analytics, media measurement, or optimization domains.Strong proficiency in machine learning frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) and data tools (e.g., SQL, Python, Spark).Exposure to MLOps principles, cloud platforms (e.g., Azure, GCP), and model deployment best practices.Excellent communication skills and ability to engage effectively with both technical and non-technical stakeholders.Preferred SkillsExperience with media mix modeling (MMM), attribution models, or marketing effectiveness solutions.Understanding of ad platforms (e.g., Google, Meta, DV360) and integration of AI insights into media planning.Familiarity with Generative AI / LLM applications (nice to have).Prior exposure to working with global clients in a complex stakeholder environment.Why Join UsOpportunity to lead high-impact AI initiatives for a global industry leader.Work with cutting-edge tools and solutions in a highly collaborative, innovative environment.Grow your career through mentorship, learning, and exposure to enterprise-scale AI products.