SVP, Insurance Consulting

Job Description

Key Responsibilities:

Strategic Leadership

• Set and execute the vision for a data- and AI-focused insurance consulting practice.
• Identify emerging trends in InsurTech, generative AI, machine learning, and predictive analytics to shape forward-looking strategies.
• Partner with the executive team to align data capabilities with enterprise growth objectives.

Client Strategy & Delivery

• Lead the design and execution of transformative data and AI strategies across underwriting, pricing, claims, customer engagement, and risk assessment.
• Serve as an executive sponsor and thought leader on major consulting engagements, especially those involving AI implementation, data modernization, and analytics roadmaps.
• Guide clients through data governance, ethical AI adoption, and regulatory compliance related to data and automation.

Innovation & IP Development

• Build and refine proprietary frameworks, AI solution accelerators, and data maturity models tailored to the insurance industry.
• Contribute to the creation of whitepapers, case studies, and conference presentations on topics like AI in underwriting, generative AI for customer service, and data-driven product innovation.
• Collaborate with product and engineering teams to integrate AI/ML models into client systems or proprietary platforms.

Practice & Team Development

• Recruit, mentor, and lead high-performing teams with capabilities in actuarial science, data science, AI engineering, and business strategy.
• Foster a culture of innovation, continuous learning, and ethical AI application.
• Support training and knowledge development in areas like LLMs, data engineering, cloud platforms (AWS, Azure, GCP), and data visualization tools.

Business Development

• Engage with C-level executives at insurers and InsurTechs to shape strategic AI and data initiatives.
• Drive growth through new business opportunities, strategic partnerships, and expansion of existing accounts.
• Support proposal development with a focus on AI/data solution design, ROI modeling, and roadmap planning.

Qualifications

Preferred Areas of Expertise:

• AI for underwriting, pricing, fraud detection, or claims optimization
• Large language models (LLMs) for policy administration or customer engagement
• Data transformation for legacy systems modernization
• InsurTech ecosystems, API integrations, and digital product strategy

Compensation & Benefits:

• Competitive base salary + performance bonus
• Equity or partnership potential (if applicable)
• Comprehensive benefits package including health, dental, vision, and 401(k)
• Flexible/remote work options