Domain Process Consultant Reinsurance Brokerage AI Enablement Advisory

Arcturus Consulting Services Inc.; Chennai; Remote; INR 1,674,000 - 2,344,000; Full time

Job summary

Arcturus Consulting Services Inc. is seeking a Domain Process Consultant Reinsurance Brokerage AI Enablement Advisory with over a decade of experience in reinsurance and brokerage functions.

The role acts as a transformation catalyst, driving AI-led enablement to automate non-value-added activities and boost advisory, structuring and client engagement. The assignment spans 6 months across PAN India, focusing on productivity, cycle-time reduction and cost optimization while collaborating with

Qualifications

• 12+ years of reinsurance and brokerage domain experience.
• Experience with AI enablement and process transformation.

Responsibilities

• Engage with underwriting, actuarial, CAT modeling and brokerage teams to understand current-state processes.
• Conduct process diagnostics across pre-submission, placement and post-placement lifecycle.
• Identify manual, repetitive, and data-intensive tasks suitable for AI and automation.
• Define AI-automation opportunities such as submission intake, bordereaux processing, document parsing, analytics.
• Collaborate with domain SMEs to validate opportunities and prioritize by business impact.
• Recommend transformation roadmap focusing on productivity, cycle time reduction and cost optimization.
• Translate opportunities into AI use cases, agentic workflows and solution inputs.
• Support business case development with measurable outcomes: cost savings and capacity uplift.
• Partner with technology teams during solution design and implementation.
• Monitor adoption and ensure teams shift to advisory/value-added activities.

Job description

Domain Process Consultant Reinsurance Brokerage AI Enablement Advisory

JOB DESCRIPTION
Role Summary:
Senior consultant with 12+ years of strong domain experience across Reinsurance and Reinsurance Brokerage functions. Acts as a transformation catalyst by collaborating with functional teams, assessing current processes and driving AI-led enablement to automate non-value-added activities. Focus is to enhance productivity, reduce manual effort and enable teams to concentrate on high-value advisory, structuring and client engagement activities.
Duration: 6 months
Location: PAN India
Positions: 1
Grade: P4 P5

Core Responsibilities:

• Engage with underwriting, actuarial, CAT modeling and brokerage teams to understand current-state processes
  
• Conduct process diagnostics (not execution) across pre-submission, placement and post-placement lifecycle
  
• Identify manual, repetitive and data-intensive tasks suitable for AI and automation
  
• Define AI-automation opportunities (e.g. submission intake, bordereaux processing, document parsing, analytics)
  
• Collaborate with domain SMEs to validate improvement opportunities and prioritize based on business impact
  
• Recommend transformation roadmap focusing on productivity, cycle time reduction and cost optimization
  
• Translate business opportunities into AI use cases, agentic workflows and solution architecture inputs
  
• Support business case development with measurable outcomes: cost savings, capacity uplift, turnaround time
  
• Partner with technology teams during solution design and implementation
  
• Monitor adoption and ensure teams shift focus to advisory and value-added activities
  

Key Functional Exposure:

• Pre-Submission: Data gathering, submission preparation, exposure analysis
  
• CAT Modeling: Input validation, output interpretation, scenario insights
  
• Treaty Structuring: Layer design, retention optimization, coverage structuring
  
• Terms & Conditions: Coverage recommendations and pricing levers
  
• Cost Optimization: Reinsurance spend optimization and portfolio efficiency
  
• Brokerage Lifecycle: Placement support, reinsurer engagement, servicing
  

AI Enablement Focus:

• Automate high-volume activities such as submission processing, document extraction and data reconciliation
  
• Use AI for risk insights, pricing support and exposure analytics
  
• Enable intelligent workflows for triaging, routing and document preparation
  
• Reduce administrative workload to free up broker/underwriter bandwidth for advisory functions
  

REQUIREMENTS
Required Experience:

• 12+ years in Reinsurance/Insurance with strong exposure to brokerage or advisory functions
  
• Experience collaborating with underwriting, actuarial and CAT modeling teams
  
• Strong background in process consulting, diagnostics and transformation
  
• Exposure to AI, analytics and automation-driven initiatives
  
• Excellent stakeholder engagement and workshop facilitation skills
  

Key Attributes:

• Strong consulting mindset with ability to influence without ownership of execution
  
• Ability to connect domain knowledge with AI‑technology opportunities
  
• Structured thinking and outcome-driven approach
  
• Focus on business value, productivity uplift and operational efficiency
  

Mandatory Skills:
P&C Commercial & Specialty lines - Claims, Reinsurance - Treaty & Facultative, Motor Claims (US & UK Market), AI Enablement, Process Consulting