About the job
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.
Responsibilities
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.
Design and develop robust data pipelines, models, and architectures that support real-time operational reporting and advanced analytics.
Qualifications
Minimum
7–10+ years of experience in data engineering, analytics, automation, AI/ML, or related technical roles.
Experience designing and developing scalable data pipelines, analytics platforms, and automation solutions.
Proven experience delivering data products and dashboards supporting cross-functional business operations.
Experience applying predictive analytics or machine learning to solve operational or supply chain challenges.
Demonstrated ability to independently lead complex technical initiatives from concept through implementation.
Strong proficiency in SQL and Python for data engineering, automation, and analytics.
Experience with ETL/ELT pipelines, data modeling, orchestration frameworks, and cloud-based data platforms.
Knowledge of AI/ML techniques, predictive analytics, and automation frameworks.
Experience with business intelligence and visualization tools such as Oracle Analytics Cloud, Tableau, or Power BI.
Understanding of forecasting, inventory management, manufacturing operations, logistics, and supply planning concepts.
Strong analytical and problem-solving abilities with attention to detail.
Excellent communication skills with the ability to explain technical concepts to both technical and business audiences.
Ability to manage multiple priorities in a fast-paced, rapidly evolving environment.
Demonstrated ability to influence stakeholders and drive technical solutions without direct managerial authority.
Self-motivated with a passion for automation, continuous improvement, and innovation.
Preferred
Experience supporting supply chain, manufacturing, logistics, procurement, or cloud infrastructure operations is preferred.
Familiarity with Oracle Fusion Cloud Applications (SCM, Procurement, Planning, ERP) is preferred.
Experience working with cloud technologies and distributed systems architectures is a plus.