About the Company/Team Oracle’s mission is to help people see data in new ways, discover insights, and unlock endless possibilities. The Autonomous Information Data Platform (AIDP) team is focused on delivering innovative AI-powered data solutions to global enterprise customers, driving transformation and competitive advantage. We value technical excellence, collaborative problem-solving, and customer-centric innovation to shape the future of data and AI. Job Summary As the Regional Product Strategy Lead for the AI Data Platform (AIDP), you will drive commercial success, partner strategy, and technical evangelism for Oracle’s next-generation AI-driven data product line across UK & Western Europe. You will blend technical depth in GenAI, data platforms, and agentic workflows with business leadership to shape go-to-market strategies, influence the product roadmap, and empower both sales teams and customers to realize tangible business outcomes with Oracle’s AIDP. Qualifications & Skills Mandatory: 15+ years’ experience in cloud data platform/analytics sales, solution engineering, or business development Proven revenue-driving record and success with complex, multi-stakeholder enterprise sales cycles Deep technical proficiency in lakehouse architectures, data mesh, and cloud-native data platforms Hands-on expertise with AI/ML workflows, LLMs/GenAI, RAG pipelines, vector databases, semantic search Strong familiarity with open-source frameworks (e.g., Spark, Kafka, Airflow), Python, and REST APIs Experience with leading cloud data platforms such as Databricks, Microsoft Fabric, or Snowflake Executive-level written and verbal communication skills; proven C-level engagement Demonstrated ability to design and deliver enablement, programs, and technical assets that drive adoption Good-to-Have: Advanced degree in Computer Science, Data Science, Engineering, or related field Experience with data governance, security, and compliance frameworks Previous technical customer-facing role at a high-growth tech company Track record of delivering reusable accelerators/patterns for data/AI adoption across industries