AVP- Management Consultant

Ex; New York (NY); Hybrid; USD 150,000 - 230,000; Full time

Job summary

EXL is seeking a Management Consultant with 10+ years of experience to join our growing practice as a client-facing advisor and solution leader. You will shape and sell data and cloud transformation programs, lead executive conversations, and guide engagements from first pitch through successful delivery.

This hybrid role spans consulting, pre-sales and delivery oversight. You will represent EXL to clients, data and technology leaders, and bring credibility on insurance and data engineering.

Qualifications

• 10+ years of management consulting experience.
• Experience shaping and selling data and cloud transformation programs.
• Hybrid role across consulting, pre-sales and delivery oversight; insurance and data engineering familiarity.

Responsibilities

• Shape and sell data and cloud transformation programs.
• Lead executive conversations with clients.
• Guide engagements from first pitch through delivery.
• Represent EXL with credibility on insurance and data engineering.

Skills

Client-facing

Solution leadership

Data transformation

Executive communication

Job description

The Opportunity

We are looking for a Management Consultant with 10+ years of experience to join our growing practice as a client-facing advisor and solution leader. You will shape and sell data and cloud transformation programs, lead executive conversations, and guide engagements from first pitch through successful delivery.

This is a hybrid role across consulting, pre-sales and delivery oversight. You will represent EXL in front of our clients, data and technology leaders, and be a credible voice on both insurance and data engineering.

What You Will Work On

Our programs for insurance clients span:

• Data modernization:enterprise data warehouse and data lake transformation, legacy-to-cloud migration.
• Data mart development:line-of-business and domain data marts for underwriting, claims, policy, finance and actuarial use cases.
• Cloud modernization:re-platforming data estates on modern cloud data platforms
• Data governance:data quality, lineage, cataloguing, ownership and regulatory readiness.
• BI acceleration:faster, trusted self-service analytics and reporting for business users.
• Agentic AI acceleration: identifying, designing and deploying AI-enabled use cases on a governed data foundation.