AVP- Management Consultant

EXL Talent Acquisition Team; New York (NY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

EXL seeks an experienced Management Consultant with 10+ years 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

Qualifications

• 10+ years of management consulting experience
• Client-facing advisor with ability to lead executive conversations
• Experience shaping and selling data and cloud transformation programs

Responsibilities

• Shape and sell data and cloud transformation programs
• Lead engagements from first pitch through successful delivery
• Represent EXL in front of clients, data and technology leaders

Skills

Client-facing

Executive communication

Solution leadership

Hybrid work readiness

Tools

Data warehouses

Cloud platforms

Data lakes

BI tools

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.