We are seeking an experienced Program Manager with subject matter expertise in the application of AI in Analytics solutions. The Program Manager will collaborate with instructional designers, curriculum developers, and production professionals to create and present outstanding content, which may include webinars, workshops, self-directed training, short videos, technical labs, Q&A, other live content, or other digital media. This content is primarily intended for customers utilizing Oracle Analytics solutions, including users, professional analysts, and implementers.

The Program Manager will act as a subject matter expert (SME) with strong technical skills and attention to detail, possessing working knowledge and hands-on experience with AI and Agentic AI in the context of Data Warehousing, ETL/ELT, Data Lakes, Data Science and Business Analytics -- with specific coverage of the OAC, OAS, and FDI products. As an SME, they will be responsible for the technical accuracy of training and video content, technical demonstrations, and question and answer sessions, with particular focus on enabling customers to effectively leverage Oracle’s AI platform and services in their data processing, analytical models and data visualization. We are seeking someone with deep familiarity in:

Data Lakehouse platforms: Databricks, Apache Delta Lake / Iceberg, Snowflake, Microsoft Fabric, etc. Retrieval-Augmented Generation (RAG) frameworks: LangChain, LlamaIndex, etc. Agent Frameworks/Orchestration: LangChain Agents, OpenAI Function Calling, etc. Generative AI platforms: OpenAI Playground, Google AI Studio, IBM Watson Studio, etc. LLMs and Multimodal AI design/evaluation: MLflow, Arize AI, etc. ASR and NLP solutions: OpenAI Whisper, IBM Watson Speech to Text, etc. Prompt Engineering platforms: PromptLayer, LangSmith, etc. Comparison of major AI providers (Oracle AI, AWS AI, Azure AI, etc.) Real-world applications of AI: data query via natural language , chatbots, predictive analytics, video transcription, recommendation systems, etc.

All training content must be informative, accurate, and useful for the target persona and audience, with objectives to accelerate user competence and improve implementation quality. These efforts will increase customer adoption and satisfaction. Content delivery must be professional and engaging with clear articulation. Key components for presenter success include empathy for the audience, understanding of their needs, and respect for their time. This includes crafting relevant scenarios and activities that match the needs of Oracle Analytics audiences and key customers.