Insurance Data & Analytics Leader (Sr. AVP)

We are seeking a dynamic and experienced Assistant Vice President (AVP) or Senior Assistant Vice President (SAVP) to lead and drive our complex data engineering, BI, and AI/ML initiatives across our insurance clients. This role demands a combination of technical leadership, deep domain knowledge and client-facing communication to successfully deliver enterprise-grade analytics and AI solutions. 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 insurance industry.

Role & Responsibilities Overview:

• Project Leadership: Lead end-to-end analytics and AI engagements for insurance clients, ensuring delivery of scalable, high-quality solutions on time and within budget.
• Technical Oversight: Architect and oversee complex data pipelines, data warehousing, BI dashboards, and AI/ML models tailored to insurance use cases.
• Domain Expertise: Translate insurance domain problems (claims, underwriting, pricing, policy servicing, fraud, etc.) into actionable data and AI solutions.
• Team Management: Guide and mentor cross-functional teams including data engineers, data scientists, BI analysts, and solution architects.
• Client Engagement: Serve as a key point of contact for senior stakeholders at client organizations; effectively communicate business value, strategy, and progress.
• Innovation & Strategy: Identify opportunities for advanced analytics, automation, and AI/ML integration in insurance operations.
• 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.

• 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:
• Strong in SQL, Python, Spark, and data pipeline architecture
• Deep understanding of cloud platforms (AWS, Azure, or GCP)
• Experience with BI tools like Power BI, Tableau, or Looker
• Familiarity with MLOps and deploying machine learning models into production
• 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.
• This role is ideal for a seasoned data analytics professional with deep insurance expertise, ready to lead impactful analytics initiatives and develop client relationships.