Core Responsibilities Client & Program Leadership • Serve as primary client partner for analytics engagements, shaping problem statements, defining success criteria, and managing executive updates. • Translate business goals into data science roadmaps and measurable outcomes. • Establish and run program governance (steering committees, RAID logs, change control, dependency management). Delivery & Value Realization • Own scope, plan, and delivery across multiple workstreams; track timelines, budgets, and outcomes; ensure on‑time, on‑budget delivery. • Define value baselines and benefit tracking . • Lead end-to-end development of AI/ML models including problem formulation, data exploration, feature engineering, model training, validation, and deployment. • Design and implement predictive, prescriptive, and generative AI solutions using structured and unstructured data. • Drive adoption of ML best practices, including model explainability, fairness, bias detection, and performance monitoring. Data Science & MLOps Leadership • • Lead end-to-end development of AI/ML models including problem formulation, data exploration, feature engineering, model training, validation, and deployment. • Design and implement predictive, prescriptive, and generative AI solutions using structured and unstructured data. • Drive adoption of ML best practices, including model explainability, fairness, bias detection, and performance monitoring. • Architect and oversee production-grade ML pipelines using MLOps principles. Professional certification such as CA, CPA, CISA or CIA. 7-9 years of experience.