
Senior Director
2 days ago
Job Summary:
We are seeking a highly skilled Senior Director to lead the development and implementation of cutting-edge AI solutions in the insurance industry.
Key Responsibilities:
- AI Strategy & Roadmap:
- Develop and execute a comprehensive AI strategy that aligns with business objectives and drives innovation in underwriting, claims, fraud detection, pricing, and customer experience.
- Identify opportunities for AI/ML and LLM adoption and measure their impact on business outcomes.
- Leadership & Team Management:
- Lead a global team of 50+ data scientists, AI/ML engineers, and cloud specialists to design, develop, and deploy AI-powered solutions.
- Foster a culture of innovation through hackathons, PoCs, and capability-building programs.
- Architecture & Delivery:
- Design and deliver large-scale LLM-powered solutions using OpenAI, LangChain, Falcon, Dolly, LLaMA, and similar frameworks.
- Oversee the development and deployment of predictive, prescriptive, and generative AI models.
- Ensure solutions are scalable, secure, and production-ready using Azure ML, Databricks, GCP Vertex AI, MLFlow, etc.
- Governance & Compliance:
- Establish and enforce AI governance, ethical AI practices, and compliance frameworks.
- Ensure all solutions align with regulatory and data privacy requirements.
- Client Engagement & Thought Leadership:
- Collaborate with insurance leaders and clients to co-create high-value AI solutions.
- Represent the organization in executive forums, client meetings, RFPs, and industry events.
- Act as a thought leader, publishing insights and driving market recognition in AI for Insurance.
- 20+ years in IT, including 10+ years in AI/ML and at least 3 years in Generative AI.
- Strong hands-on expertise with Python, PySpark, SQL, ML/DL architectures (ANN, CNN, RNN, LSTM, GRU, AutoEncoders).
- Proficiency with Generative AI frameworks (OpenAI, LangChain, ChromaDB, Falcon, Dolly, LLaMA, TensorFlow, PyTorch, Kedro).
- Hands-on experience with Azure (preferred), AWS, and GCP.
- Strong exposure to MLOps, CI/CD pipelines, Kubernetes, DevOps tools for scalable AI delivery.
- Proven applications of AI/ML in claims automation, fraud analytics, underwriting, and policy servicing.
- Business acumen to translate insurance requirements into AI-driven solutions.
- Experience managing large-scale programs and global AI delivery teams.
- Strong stakeholder management skills with the ability to engage C-suite executives.
- Track record of driving innovation, automation, and transformation in enterprise settings.
- Bachelor's Degree in Computer Science, Engineering, or related field (Master's preferred).
- Project Management Professional (PMP – PMI).
- Microsoft Certified: Azure Data Scientist & Azure AI Engineer.
- IBM-Coursera Data Science Professional.
- Scaled Agile (SAFe) Practitioner.
- Deep Learning & Advanced AI certifications (preferred).
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