Associate Director

You are an experienced Reporting GenAI Consultant with a strong background in developing AI-driven reporting solutions. Your role involves building and integrating Generative AI capabilities into BI platforms to enable natural language insights, automated report generation, and interactive dialogue with data. You will leverage your hands-on experience working with LLMs, prompt engineering, and modern data visualization tools to deliver innovative reporting solutions. Your responsibilities include designing, developing, and deploying GenAI-based reporting solutions that generate insights summaries, dashboards, and narrative analytics from structured and unstructured data. You will build natural language interfaces and conversational agents for querying data, enabling users to interact with reports through plain English. Additionally, you will integrate GenAI features like ChatGPT, Azure OpenAI, or Vertex AI with enterprise BI platforms such as Power BI, Tableau, Qlik, ThoughtSpot, etc. Furthermore, you will implement automated insight generation using LLMs to summarize trends, detect anomalies, and generate key takeaways. Collaboration with data engineering and BI teams is crucial to optimize data models and ensure clean, prompt-ready datasets. You will design and fine-tune prompts and templates for contextual report summarization and storytelling, and conduct POCs and pilots to evaluate the feasibility and impact of GenAI-driven reporting use cases. It is essential to ensure that solutions are secure, scalable, and compliant with enterprise governance policies. To excel in this role, you should have 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 is required. Your expertise should include working with LLMs for natural language understanding and summarization, prompt engineering, few-shot learning, and custom summarization models. A good understanding of data storytelling, narrative generation, and auto-generated insights is essential. Experience in integrating APIs for AI models into web or reporting tools is beneficial, along with familiarity with Python or JavaScript for model integration and backend logic. Excellent communication and stakeholder management skills are also necessary for this role. Preferred qualifications include experience with 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.,