Insurance AI GTM Director - Remote at NTT DATA

Plano, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Apr, 26

Salary

0.0

Posted On

13 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Project Management, Machine Learning, Deep Learning, Natural Language Processing, AI Governance, Client Engagement, Data Science, Programming, GenAI, Transformers, Consulting, Insurance Domain Knowledge, Framework Development, Technical Leadership, Collaboration, Innovation

Industry

IT Services and IT Consulting

Description

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%. 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. 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. 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 Knowledge of ethical standards related to AI Proficiency in programming languages

Responsibilities

Lead and oversee the delivery of AI projects, ensuring they meet quality standards and are completed on time and within budget. Develop strategic plans for the AI practice and mentor AI teams to foster a culture of innovation and collaboration.