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Tier-1 brand and Bangalore metro presence raise competition, balanced by seniority and niche AI analytics requirements.
Advanced AI analytics and contact-center product measurement require domain-specific experience, moderately limiting cross-industry transferability.
Explicit 12–18 year requirement plus mandatory ML/LLM, A/B testing, and leadership skills makes screening strict.
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Lead product analytics and build scalable analytical solutions for Contact Center products including AI Assistant and agent assisting tools.
Own end-to-end project delivery including roadmap prioritization, timelines, and collaboration with product managers and analytics leadership.
Provide actionable insights and recommendations through rigorous analysis and drive measurement for AI system impact, experimentation, and strategic decisions.
12-18 years industry experience in advanced analytics or related fields.
Degree in quantitative field required; Masters or PhD preferred (Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
Strong expertise in Python, SQL, A/B testing, experimental design and analytics techniques including machine learning, deep learning, and NLP.
Experience with LLM architectures, AI observability, and collaboration across cross-functional teams is mandatory. Contact center and marketplace domain knowledge is a plus but not mandatory.
Experienced leader capable of building and mentoring analytics teams focused on AI and product analytics in complex environments.
Skilled in designing scalable metrics and analytics solutions for AI-driven customer service products and features, with proven impact measurement.
Comfortable working cross-functionally with product, engineering, and business leadership to influence product strategy using data-driven insights.