Assistant Vice President

Job Description: 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.

Responsibilities: 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.

Qualifications: 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.