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Assistant Vice President

exl Service.com (India) Private Limited
Gurugram, IND
Full-time
Executive · 12+ years experience
Hybrid
Discovered 5 days ago
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Full Job Posting

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.

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.

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