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