Lead Data Scientist, GenAI & Strategic Analytics

- Collaborate with stakeholders to assess business needs, challenges, and goals related to GenAI applications. - Facilitate workshops to identify, rank, and define impactful GenAI use cases (e.g., text generation, code synthesis, conversational agents). - Clearly convey the value proposition of GenAI, emphasizing efficiency improvements, risk management, and innovation. - Design comprehensive GenAI solutions, selecting and modifying suitable models (GPT, Llama, Claude, Zora AI, etc.). - Develop scalable strategies for integrating GenAI into existing client systems (ERP, CRM, KM platforms). - Establish and govern reliable, ethical, and compliant data sourcing and management practices. - Lead model fine-tuning, prompt engineering, and customization tailored to specific client requirements. - Supervise the creation of GenAI-powered applications and user-friendly interfaces, ensuring quality and an exceptional user experience. - Drive thorough testing, validation, and iteration to maintain quality and accuracy. - Oversee solution implementation, including cloud configuration and production deployment. - Support clients in adopting GenAI solutions by providing training, documentation, and user resources. - Spearhead initiatives in responsible AI, ensuring measures are in place to combat bias, privacy issues, and unethical practices. - Monitor performance, establish KPIs, and manage model retraining and auditing tasks. - Produce executive-level reports, dashboards, and demonstrations to detail progress and impact. - Coordinate effectively with internal teams, technology partners, and clients for successful project execution. - Remain updated on GenAI trends, best practices, and new technologies; share knowledge across teams. - Mentor junior staff, encourage knowledge sharing, and contribute to reusable methodologies.