Director - FDI Pipeline Data Model Team

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Oracle Analytics is used by customers worldwide 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 (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 models to deliver deeper insights and accelerate decision making. The backbone of FDI is the lights‑out data pipeline that manages the data warehouse for all customers.

The FDI Pipeline Data Model team defines the application development language and builds analytic data models for Fusion, Net Suite, Salesforce and other sources. As a senior technical lead, you will define and drive the architectural vision for scalable, secure, and innovative data models and platforms that support analytics and AI initiatives.

• Play a hands‑on role in designing, developing, and optimizing scalable, secure data models and pipelines that power FDI analytics, machine learning, and AI‑driven solutions.
• Serve as the primary subject matter expert and technical authority across multiple Fusion/Net Suite modules or entire pillars such as ERP, HCM, or SCM.
• Lead and influence key architectural decisions, setting technical direction, standards, and best practices for data modeling, automation, language processing, and user interface integration.
• Build strong relationships and partner with Pipeline engineering, product, and Content analytics leads to ensure alignment of technical solutions with business objectives.
• Take full ownership and accountability for release features as Feature Owner, driving progress, coordinating across teams, and resolving roadblocks.
• Conduct thorough code and design reviews to ensure high performance, maintainability, and extensibility of team deliverables.
• Troubleshoot and resolve complex, high‑impact data, pipeline, and platform issues, delivering robust and reliable end‑to‑end solutions.
• Drive innovation through adoption and hands‑on implementation of new technologies, frameworks, and engineering approaches to continuously evolve FDI’s data platform capabilities.
• Mentor and coach engineers across the Pipeline and FDI teams, fostering a collaborative, innovation‑driven culture.
• Actively participate in planning, technical design reviews, and cross‑team forums, shaping the strategic data architecture for FDI.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with 10+ years of hands‑on experience architecting large‑scale data solutions.
• Deep understanding of business processes and sources such as Fusion.
• Advanced programming skills in Python, PySpark, Java, Scala, and SQL, with proven success designing cloud‑native data pipelines and platforms (Oracle Cloud, AWS, Azure, Google Cloud Platform).
• Strong command of data modeling using modern techniques (3NF, Dimensional, Data Vault, etc.) to create and maintain scalable enterprise data models.
• Hands‑on experience with Spark, ETL/ELT frameworks, real‑time streaming (Kafka/Event Hub), and automation across diverse data environments.
• Practical background in AI, LLMs, or machine‑learning‑enabled development and an eagerness to innovate and learn as the tech evolves.
• Natural collaborator and mentor, comfortable guiding technical teams and business partners, and able to communicate complex ideas with clarity and impact.
• Passionate about driving strategy, setting technical direction, and helping teams deliver reliable, actionable business insights in a fast‑paced, agile environment.

US:
Hiring Range in USD from $122,500 to $291,800 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing…