This role is designed for a senior resource who will set up new accounts and projects, establish delivery frameworks, and ensure a smooth transition to steady-state operations. The role also carries P&L governance responsibilities including utilization management, revenue forecasting, and margin simulations. Key Responsibilities: Delivery Setup & Transition • Lead the initial setup of analytics engagements across verticals. • Define solution components, delivery models, governance structures, and execution plans tailored to client needs. • Build and onboard cross-functional teams, establish delivery KPIs, and ensure operational readiness. • Hands on techno-functional expertise from solution to delivery • Act as the primary delivery lead during the incubation phase, transitioning projects to steady-state teams post-stabilization. • Drive client engagement and ensure alignment with business objectives during early phases. Functional Expertise in Analytics: • Data Management: Expertise in data architecture, data governance, ETL, and data quality frameworks. • Descriptive & Diagnostic Analysis: Strong foundation in BI, reporting, and root cause analysis. • Predictive Analytics: Experience with statistical modeling, machine learning, and forecasting techniques. • Customer Experience (CX) Analytics: Ability to design and deliver solutions that enhance customer journeys, segmentation, and personalization. • Operational Analytics: Proven success in optimizing business processes, supply chain, and workforce efficiency through data-driven insights. Required Skills & Qualifications: • 12+ years of experience in analytics delivery and financial management. • Proven success in setting up and scaling delivery operations across multiple clients and verticals. • Strong understanding of analytics platforms, tools (e.g., Power BI, Tableau, Python, R), and exposure to cloud ecosystems (Azure, AWS, GCP). • Deep expertise in P\&L ownership, budgeting, and forecasting. • Excellent client-facing skills and ability to influence senior stakeholders. • Bachelor’s/Master’s degree in Engineering, Business, Data Science, or related field. Preferred Qualifications: • Experience in consulting or IT services industry. • Exposure to global delivery models and multi-region operations.