Principal Data Automation Engineer​/Data Scientist, Supply Chain

Principal Data Automation Engineer

Oracle Cloud Infrastructure (OCI) is seeking a highly motivated Principal Data Automation Engineer to help accelerate the digital transformation of OCI's global supply chain operations. Reporting to the Senior Director of Data Automation, Supply Chain, this role will design, develop, and implement advanced data platforms, AI-enabled automation, predictive analytics, and operational intelligence solutions that improve efficiency, scalability, and decision-making across OCI's rapidly growing supply chain organization.

As a senior individual contributor, you will partner closely with Supply Planning, Manufacturing, Sourcing, Logistics, Capacity Planning, Data Center Operations, and Engineering teams to develop intelligent automation, operational dashboards, machine learning models, and data products that enable proactive management of supply chain operations. This role requires deep technical expertise, strong business acumen, and the ability to influence cross-functional stakeholders through data-driven solutions.

Data Automation & AI Solutions

• Design, build, and maintain scalable data automation solutions supporting OCI's global supply chain.
• Develop AI and machine learning models that improve forecasting, inventory optimization, supply planning, logistics execution, manufacturing readiness, and operational performance.
• Identify opportunities to eliminate manual processes through automation, predictive analytics, and intelligent workflows.
• Build reusable automation frameworks and data products that improve operational efficiency and business scalability.
• Evaluate emerging AI and automation technologies and recommend practical applications across supply chain operations.

Data Engineering & Analytics

• Design and develop robust data pipelines, models, and architectures that support real-time operational reporting and advanced analytics.
• Build scalable datasets that enable forecasting, planning, inventory management, supplier performance, and deployment execution.
• Ensure data quality, governance, reliability, and accessibility across multiple enterprise systems.
• Develop dashboards, scorecards, and self-service analytics that improve operational visibility across global supply chain functions.
• Collaborate with engineering teams to integrate data across Oracle Fusion Cloud Applications, operational systems, and cloud platforms.

Operational Intelligence

• Develop operational dashboards, KPI frameworks, and control tower capabilities that provide end-to-end visibility into supply chain performance.
• Create intelligent alerting mechanisms that proactively identify operational risks, exceptions, and bottlenecks.
• Build predictive models supporting scenario planning, capacity management, supplier performance, and deployment readiness.
• Translate complex operational data into actionable insights that support day-to-day execution and long-term planning.

Cross-Functional Collaboration

• Partner with Supply Planning, Procurement, Manufacturing, Logistics, Capacity Management, and Data Center Operations teams to understand business challenges and develop scalable technical solutions.
• Collaborate with product managers, engineers, and business stakeholders to define analytics requirements and deliver impactful data solutions.
• Provide technical guidance and subject matter expertise for automation initiatives and enterprise data projects.
• Influence best practices for data engineering, analytics, and automation across the organization.

Continuous Improvement

• Drive improvements in data quality, automation, reporting accuracy, and operational efficiency.
• Identify opportunities to simplify processes, reduce technical debt, and improve maintainability of data platforms.
• Document technical designs, data models, and automation solutions to support long-term scalability and operational excellence.
• Stay current on emerging technologies in AI, machine learning, cloud computing, and data engineering.

Required Qualifications

Experience

• 7–10+ years of experience in data engineering, analytics, automation, AI/ML, or related technical roles.
• Experience designing and developing scalable data pipelines, analytics…