Insurance Analytics Lead (AVP)

Position Overview

We are seeking a dynamic and experienced Analytics Lead (AVP Role) to lead and drive our Insurance Analytics & AI initiatives for P&C (Property and Casualty) Clients. This leadership role will focus on client management, data-driven solutions, and strategic insights, ensuring our clients receive cutting-edge analytics and AI solutions that enhance operational efficiencies and business outcomes.

As an AVP/SAVP, you will be responsible for managing relationships with key insurance clients, overseeing project delivery, ensuring the effective use of data, and leading a high-performing team. This role requires a strategic thinker with strong experience in data analytics, AI applications, and client management in the P&C insurance industry.

Role & Responsibilities Overview:

• Client Relationship Management: Serve as the primary point of contact for key P&C insurance clients, managing expectations, understanding their business needs, and ensuring high satisfaction with analytics and AI-driven solutions.
• Strategic Leadership: Lead and support strategic initiatives and roadmap development for analytics, AI, and digital transformation projects. Collaborate with senior leadership and clients to define project objectives and deliverables.
• Data & Analytics Strategy: Oversee the application of advanced data analytics and AI solutions to solve complex challenges within the insurance space. Guide teams in developing data-driven insights that inform decision-making for clients.
• Project Delivery & Execution: Ensure the successful and timely delivery of analytics projects, including P&C insurance data models, AI algorithms, dashboards, and reporting tools. Ensure all projects are aligned with client goals and industry standards.
• Stakeholder Engagement: Act as a trusted advisor to clients, managing communication and expectations while keeping internal stakeholders updated on project progress, challenges, and successes.
• Client Growth & Business Development: Work closely with the sales and business development teams to identify new opportunities for expanding services to existing clients. Play a key role in proposals, RFP responses, and new business initiatives.
• Risk & Issue Management: Identify potential project risks and issues, take proactive steps to mitigate them, and communicate effectively with all stakeholders to ensure smooth project execution.
• Market Insights: Stay up-to-date with the latest trends in P&C insurance, data analytics, and AI to continuously drive innovation and best practices within the organization.
• Domain Expertise in Insurance Analytics: Leverage your expertise in P&C insurance to identify client pain points, emerging trends, and analytics solutions that drive operational efficiency and competitive advantage.
• Technical Expertise: Utilize advanced analytics tools and techniques, including SQL, Power BI, SAS, and Generative AI, to extract insights and build data solutions. Guide teams in data processing, modeling, and visualization best practices.
• Solution Design & Innovation: Develop and implement innovative analytics solutions to enhance underwriting, claims, and pricing strategies. Work closely with cross-functional teams to incorporate analytics into business processes and decision-making.
• Performance Reporting & Insights: Design and deliver performance dashboards, reports, and presentations that translate complex data into actionable insights, facilitating data-driven decision-making for clients.

Candidate Profile:

• Education: Bachelors or Masters degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field. An advanced degree is preferred.
• Experience: 10 - 15 years of experience in data analytics, with a strong focus on insurance analytics. Expertise in the Property & Casualty (P&C) domain is strongly preferred.
• Technical Skills:
• Proficiency in SQL, Power BI, and SAS.
• Experience with Generative AI and other advanced data analytics tools.
• Strong skills in data modeling, visualization, and data-driven decision-making.
• Leadership Skills: Proven experience in managing and developing high-performance teams.
• Analytical Thinking & Problem Solving: Ability to think strategically, analyze complex data, and provide innovative solutions to meet client objectives.
• Preferred Skills: Exposure to other analytical tools and languages (Python, R) is a plus.
• Familiarity with machine learning and AI algorithms relevant to the insurance domain.
• Experience in consulting or with a professional services firm is an advantage.