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The Insurance AI GTM Director will lead AI projects and mentor teams while developing strategic plans to align with business objectives. This role requires a bachelor's degree and over 10 years of experience in AI solutions and the insurance industry. The candidate should have strong proficiency in machine learning and project management. Travel may be required up to 25%.
Job Responsibility:
Lead and oversee the delivery of AI projects within the practice, ensuring they meet quality standards and are completed on time and within budget
Develop and implement strategic plans for the AI practice, aligning with overall business objectives
Mentor and guide AI teams, fostering a culture of innovation, collaboration, and continuous improvement
Establish and maintain best practices for AI project management, including methodologies, tools, and standards
Provide technical leadership and guidance in AI technologies, including GenAI, machine learning, deep learning, and natural language processing
Ensure the technical quality of AI solutions, including architecture, design, and implementation
Stay updated with the latest advancements in AI technologies and integrate relevant innovations into the practice
Participate in presales activities, including client presentations, proposal development, and solution demonstrations
Collaborate with sales and business development teams to identify new opportunities and develop AI solutions that meet client needs
Build strong relationships with clients, understanding their business challenges and proposing tailored AI solutions
Develop and present compelling AI use cases and success stories to highlight the value of AI solutions to prospective clients
Scope, plan, and manage complex AI projects from inception to completion
Collaborate with cross-functional teams, including client partners, data scientists, engineers, and business analysts, to deliver comprehensive AI solutions
Foster a collaborative environment that encourages knowledge sharing, innovation, and experimentation
Drive the development of frameworks, capabilities, and features for the AI practice, enhancing the overall quality and impact of AI solutions
Engage with clients at all levels to understand their AI needs and business objectives
Provide strategic advice and thought leadership on AI initiatives, helping clients leverage AI to drive business value
Ensure exceptional client satisfaction by delivering high-quality AI solutions that meet or exceed client expectations while maintaining a utilization of at least 50%.
Requirements:
5+ years Insurance (P&C and/or L&A) domain experience, with deep understanding of underwriting, claims, policy administration, and distribution processes
3+ years consulting or professional services experience, delivering AI-driven transformation initiatives within the insurance industry
10+ years designing enterprise-scale data and AI solutions leveraging key data providers and hyperscalers (e.g., Snowflake, Databricks, AWS Sagemaker/Bedrock, GCP Vertex AI, Azure AI)
3+ years experience with AI frameworks and programming (e.g., PyTorch, TensorFlow, Python) for model training, fine-tuning, and evaluation
1+ years direct experience with Generative and Agentic AI, including: Advanced RAG architectures (retrieval-augmented generation), Agentic AI frameworks for workflow orchestration and autonomous decisioning, Transformer-based models (e.g., GPT-4, Claude, LLaMA) and GANs for content generation and risk modeling, Use of GenAI copilots, chatbots, and underwriting assistants tailored for insurance operations
Strong understanding of AI governance, model explainability, and compliance in regulated insurance environments
Bachelor’s degree or equivalent (minimum 12 years relevant work experience)
Ability to travel up to 10–25% as required.
Nice to have:
AI/ML certification(s) from any of the MAAG Clouds / renowned 3rd party platforms
Exposure working with LLM Architecture/fine-tuning LLM’s
Knowledge of generative models, GAN’s and transformer-based models