VP Partner - Risk Service Line - Insurance Advisory

VP Partner – Risk Service Line – Insurance Advisory

The following information provides an overview of the skills, qualities, and qualifications needed for this role.

Location: New York, NY, US

Bonus Potential: Up to 25% Target Bonus

Employment Type: Full-Time, Permanent

Work Setup: Remote-First (US-based)

Role Overview

We are seeking an accomplished Vice President to join our Risk Service Line , dedicated to our Insurance Practice . Reporting directly to the Head of Insurance Risk Advisory, this individual will serve as a senior Subject Matter Expert (SME) and trusted advisor to C-suite executives across Property & Casualty (P&C), Life & Annuities (L&A), and Reinsurance carriers.

This role blends high-impact advisory delivery and solution architecture with tactical business development and Go-To-Market leadership. As an Individual Contributor with growth potential, you will shape enterprise risk strategies, drive regulatory compliance, and deploy AI-enabled risk solutions for major insurers across North America.

Responsibilities

1. Consulting Delivery & Advisory Leadership (70–80%)

• Advisory Execution: Lead complex consulting engagements focusing on Enterprise Risk Management (ERM), regulatory compliance, data governance, and operational risk across P&C, Life & Annuities, and Reinsurance clients.
• Solution Architecture: Translate client risk and regulatory challenges into scalable, technology-enabled consulting solutions.
• Team Oversight: Guide and mentor delivery teams (AVPs, Senior Managers, and project consultants) during client engagements to ensure elite execution.

1. Go-To-Market & Business Development (20–30%)

• Client Engagement: Build and expand relationships with C-suite stakeholders (Chief Risk Officers, Chief Compliance Officers, Chief Actuaries, and CDOs) across prospective and existing insurance accounts.
• Commercial Growth: Support pipeline generation, proposal development (RFPs), and account expansion by positioning Genpact's integrated risk, data, and analytics capabilities.
• Thought Leadership: Partner with practice leaders to develop market-facing POVs, solution showcases, and risk advisory frameworks tailored to the evolving insurance landscape.

1. Insurance Domain & Regulatory Expertise

• Framework Mastery: Bring deep domain expertise in Enterprise Risk Management (ERM), model governance, third-party risk, and capital adequacy frameworks relevant to North American insurers.
• Regulatory Knowledge: Maintain a strong working knowledge of insurance regulatory standards and reporting guidelines (e.g., NAIC mandates, ORSA, Solvency frameworks, and state insurance regulations).
• Data Governance: Advise clients on data governance, model risk management, and regulatory reporting architectures.

1. Digital & Agentic Risk Innovation

• AI Integration: Partner with Genpact's AI Gigafactory and technology teams to commercialize digital and Agentic AI solutions for insurance risk monitoring, control testing, and regulatory automation.
• Modernization: Assist insurance clients in modernizing legacy risk infrastructure through data intelligence, automation, and advanced analytics.

Qualifications

Minimum Qualifications

• Senior Manager, Director, or Principal-level experience within a Big 4 firm, tier-1 management consultancy, or top-tier specialized risk advisory firm.
• Proven track record combining Risk Management + Insurance Sector Expertise + Top-Tier Consulting
• Demonstrated experience delivering enterprise risk or regulatory programs specifically for Property & Casualty (P&C) or Life & Annuities (L&A) carriers.
• Bachelor's degree in Risk Management, Finance, Business, Economics, or Data Analytics; MBA, CFA, FRM, or CPCU preferred.

Preferred Qualifications

• Strong network of relationships among Chief Risk Officers and risk executives across US insurance carriers.
• Consultative selling orientation with a track record of supporting RFP wins and expanding consulting engagements. xhyhwjd
• Familiarity with data governance architectures and AI applications in risk management.