Assistant Vice President
Overview
EXLexlservice.comPosted 13 days ago
Gurugram, Haryana, INঅফিসে
Quick apply- জ্যেষ্ঠতার স্তর
- Executive
- চাকরির ধরন
- পূর্ণকালীন
- কাজের অভিজ্ঞতা
- 12+ years
- বিশেষায়ন
- Executive leadership
পদ সম্পর্কে
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
- 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.
Requirements
- 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.
- Experience in consulting or IT services industry.
- Exposure to global delivery models and multi-region operations.
Key skills
- Forecasting
- ETL
- Machine Learning
- Supply Chain
- Power BI
- Tableau
- Python
- Azure
- AWS
- Google Cloud
- Budgeting
- Data Science
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.