Oracle Analytics is used by customers across the world to discover deep insights about their business, improve collaboration around a single view by securely including all relevant data, and increase agility by quickly spotting patterns and powering data-driven decisions with AI and machine learning. Oracle Fusion Data Intelligence platform (FDI) is the next generation of Oracle Fusion Analytics Warehouse built for Oracle Fusion Cloud Applications, bringing together business data, ready-to-use analytics, and prebuilt AI and machine learning (ML) models to deliver deeper insights and accelerate the decision-making process into actionable results. The backbone of FDI is the lights-out data pipeline that manages the data warehouse for all the customers. For details about the product, visit https://docs.oracle.com/en/cloud/saas/analytics/25r3/index.html FDI Pipeline Data Model team defines the application development language and uses the same to build applications – deliver analytic data models for Fusion, NetSuite, Salesforce etc. sources. As one of the senior technical leads on this team, you’ll define and drive the architectural vision for scalable, secure, and innovative data models and platforms supporting analytics and AI initiatives. You’ll lead the design and implementation of enterprise data solutions, set organization-wide standards, and collaborate with leaders across product, pipeline engineering, and content analytics teams. Your expertise will guide the integration of new technologies and influence data strategy at scale, ensuring industry-leading data quality, governance, and performance. In this role, you will mentor technical talent and help shape the future direction of FDI. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. You will manage teams consisting of engineers of all levels and development managers responsible for data model development You should be comfortable with managing and providing technical leadership at developing data model that leverages the core pipeline platform strengths. This role will drive major aspects of our product definition, supply to the product strategy of our solutions, and is paramount to the reliability and efficiency of cloud native multi-tenant analytic solutions that customers rely on for their mission critical decision making.
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Job Type
Full-time
Career Level
Manager
Number of Employees
5,001-10,000 employees