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Job Description
Structured overview of role & requirementsAbout This Role
Lead end-to-end analytics, automation, and AI initiatives across Product, Operations, Engineering, and Data Science teams to solve business problems and improve operational efficiency.
Develop scalable data solutions and AI-powered tools using advanced analytics, Python, and LLM APIs, driving measurable business impact.
Manage multiple cross-functional programs while establishing KPI frameworks and driving data-driven decisions through clear communication to varied stakeholders.
Minimum Requirements
6+ years experience in Program Management, Analytics, Business Intelligence, Data Science, Data Engineering, or related quantitative field.
Proficiency in advanced SQL and Python for developing analytical, automation, or AI-driven solutions with large datasets.
Experience leading cross-functional programs with Product, Operations, Engineering, and Data Science teams.
Bachelor's or Master's degree in Statistics, Computer Science, Engineering, Economics, Mathematics, or related quantitative discipline.
Ideal Candidate Profile
Proven ability to translate complex business challenges into scalable AI and automation solutions and communicate insights effectively to technical and non-technical stakeholders.
Experience working and leading high-impact AI, Machine Learning, or advanced analytics projects involving LLMs, AI APIs, recommendation systems, or decision-support systems.
Comfortable managing large-scale, ambiguous initiatives and driving alignment across multiple teams in a fast-paced environment.