AVP- Management Consultant

ExlService Holdings, Inc.; New York, Northern (NY, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

ExlService Holdings, Inc. is seeking a Management Consultant with 10+ years of experience to join our growing practice as a client-facing advisor and solution leader, shaping and selling data and cloud transformation programs.

This is a hybrid role spanning consulting, pre-sales and delivery oversight, representing EXL to clients and technology leaders and guiding engagements from first pitch through successful delivery in insurance and data engineering.

Qualifications

• 10+ years of management consulting experience with client-facing roles.
• Experience leading data and cloud transformation programs.
• Track record selling and delivering complex engagements.

Responsibilities

• Shape and sell data and cloud transformation programs for clients.
• Lead executive discussions and guide engagements from pitch to delivery.
• Provide oversight across consulting, pre-sales, and delivery activities.
• Navigate insurance industry data engineering initiatives.

Skills

Client-facing

Solution leadership

Data transformation

Cloud transformation

Pre-sales

Delivery oversight

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.