Data/AI Client Engagement Lead - Insurance - Senior AVP

Responsibilities

• Client Engagement & Relationship Management
• Build and maintain strong relationships with key banking and capital markets clients.
• Act as the primary contact for strategic discussions, understanding client needs and identifying opportunities for value creation through consultative engagement.
• Solution & Proposal Development
• Lead development of tailored technical proposals in collaboration with cross-functional teams.
• Design innovative solutions in areas like data modernization, digital transformation, and integration, ensuring proposals are practical, competitive, and aligned with best practices.
• Account & Revenue Growth
• Monitor account performance and drive growth through upsell and cross-sell opportunities.
• Achieve revenue targets by expanding service offerings and leveraging emerging technologies such as AI, cloud, and data platforms.
• Leadership & Delivery Oversight
• Cook up coordination across advisory, technology, and operations teams to ensure seamless delivery.
• Promote collaboration, resolve interdependencies, and foster knowledge sharing for efficiency and innovation.
• Market Awareness & Thought Leadership
• Stay current on industry trends, regulatory changes, and competitive dynamics.
• Contribute to thought leadership through client presentations, webinars, and whitepapers.

Qualifications

• Minimum of 10+ years in Insurance, specifically Property and Casualty, with at least 5 years in a leadership or client-facing role.
• Proven track record in managing multimillion-dollar accounts, driving revenue growth, and leading cross-functional teams.
• Strong expertise in technical design discussions and the ability to provide strategic consulting to enable large-scale engagements is essential for this role.

Skills

• Extensive experience in Property and Casualty (P&C), covering underwriting, claims, actuarial, data and digital transformation.
• Strong technical foundation with exposure to data management, cloud platforms, and AI-driven solutions.
• Familiarity with modern technology ecosystems such as hyperscalers (AWS, Azure, GCP), Databricks, Palantir, Snowflake, and emerging AI/ML tools.
• Ability to manage and lead technical delivery teams, ensuring successful execution of client engagements.
• Skilled in proposal development, technical workflow design, and driving large-scale implementations.
• Excellent communication and presentation skills, capable of translating complex concepts for diverse audiences.
• Proven ability to handle multiple engagements simultaneously, balancing priorities in a matrixed environment.
• Strong understanding of Enterprise Data Management (EDM) solutions and related tools, enabling informed client discussions.
• Adept at adapting methodologies to client needs to deliver value and maintain profitability.
• Experience in mentoring teams and conducting internal training programs.
• Able to resolve conflicts effectively and maintain strong client relationships.

Benefits

The typical base pay range for this role across the U.S. is USD $180,000 - $200,000 per year.

For more information on benefits and what we offer please visit us at https://ww80w.exlservice.com/us-careers-and-benefits.