Associate Director

As an experienced Reporting GenAI Consultant, your role is to develop AI-driven reporting solutions by building and integrating Generative AI capabilities into BI platforms. This involves enabling natural language insights, automated report generation, and interactive dialogue with data. Your hands-on experience with LLMs, prompt engineering, and modern data visualization tools will be essential in delivering innovative reporting solutions. **Key Responsibilities:** - Design, develop, and deploy GenAI-based reporting solutions that generate insights summaries, dashboards, and narrative analytics from structured and unstructured data. - Build natural language interfaces and conversational agents for querying data, allowing users to interact with reports through plain English. - Integrate GenAI features like ChatGPT, Azure OpenAI, or Vertex AI with enterprise BI platforms such as Power BI, Tableau, Qlik, ThoughtSpot, etc. - Implement automated insight generation using LLMs to summarize trends, detect anomalies, and generate key takeaways. - Collaborate with data engineering and BI teams to optimize data models and ensure clean, prompt-ready datasets. - Design and fine-tune prompts and templates for contextual report summarization and storytelling. - Conduct POCs and pilots to evaluate the feasibility and impact of GenAI-driven reporting use cases. - Ensure that solutions are secure, scalable, and compliant with enterprise governance policies. **Qualifications Required:** - 10+ years of experience in Business Intelligence/Analytics with 1-2 years in Generative AI implementations. - Strong experience in Power BI with exposure to augmented analytics features. - Expertise in working with LLMs for natural language understanding and summarization, prompt engineering, few-shot learning, and custom summarization models. - Good understanding of data storytelling, narrative generation, and auto-generated insights. - Experience in integrating APIs for AI models into web or reporting tools, familiarity with Python or JavaScript for model integration and backend logic. - Excellent communication and stakeholder management skills. The company prefers candidates with experience in RAG (Retrieval-Augmented Generation), LangChain, or similar frameworks, exposure to voice-based analytics or speech-to-insight solutions, knowledge of data governance, privacy (GDPR/CPRA), and enterprise security standards, as well as familiarity with cloud platforms like Azure.,