$114,600–$234,600 Per Year
Accidental Death and Dismemberment (AD&D), Analysis Skills, Analytics Cloud, Artificial Intelligence (AI), Automation, Automation Engineering, Best Practices, Business Intelligence Software, Business Operations, Business Skills, Capacity Management, Capacity and Performance Management, Cloud Applications, Cloud Computing, Communication Skills, Computer Engineering, Continuous Improvement, Cross-Functional, Customer Relations, Data Analysis, Data Fusion, Data Management, Data Modeling, Data Quality, Data Science, Data Sets, Database Extract Transform and Load (ETL), Dental Insurance, Detail Oriented, Distributed Computing, ERP (Enterprise Resource Planning), Embedded Systems, Emerging Technology, Financial Planning, Flexible Spending Accounts, Forecasting, Healthcare, Inventory Management, Inventory Planning, Leadership, Legal, Life Insurance, Logistics, Logistics Management, Machine Learning, Machining Operations, Manufacturing, Manufacturing Operations, Manufacturing Operations Management, Multitasking, Network Operations Center, Occupational Health, Operational Audit, Operational Improvement, Operational Strategy, Operations Planning, Oracle, Oracle Fusion Middleware, Performance Metrics, Power BI, Predictive Modeling, Problem Solving Skills, Process Improvement, Procurement Planning, Product Engineering, Product Support, Property Insurance, Purchasing/Procurement, Python Programming/Scripting Language, Reporting Dashboards, Requirements Management, Risk Analysis, SQL (Structured Query Language), Scalable System Development, Scorecarding, Software Engineering, Stock Purchase Plans, Supplier Optimization, Supply Chain, Supply Chain Management, Supply Chain Management Software, Supply Chain Operations, System Architecture, Tableau, Technical Leadership, Technical Writing, Technical/Engineering Design, Test Requirements, Vendor/Supplier Evaluation, Vision Plan, Workflow Analysis
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.
Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.
True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Disclaimer:
Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from: $114,600 to $234,600 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 products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
Medical, dental, and vision insurance, including expert medical opinion
Short term disability and long term disability
Life insurance and AD&D
Supplemental life insurance (Employee/Spouse/Child)
Health care and dependent care Flexible Spending Accounts
Pre-tax commuter and parking benefits
401(k) Savings and Investment Plan with company match
Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
11 paid holidays
Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal
Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC4
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 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.
- Experience supporting supply chain, manufacturing, logistics, procurement, or cloud infrastructure operations is preferred.
Technical Skills
- 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.
- Familiarity with Oracle Fusion Cloud Applications (SCM, Procurement, Planning, ERP) is preferred.
- Understanding of forecasting, inventory management, manufacturing operations, logistics, and supply planning concepts.
- Experience working with cloud technologies and distributed systems architectures is a plus.
Professional Skills
- 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.
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 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.
- Experience supporting supply chain, manufacturing, logistics, procurement, or cloud infrastructure operations is preferred.
Technical Skills
- 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.
- Familiarity with Oracle Fusion Cloud Applications (SCM, Procurement, Planning, ERP) is preferred.
- Understanding of forecasting, inventory management, manufacturing operations, logistics, and supply planning concepts.
- Experience working with cloud technologies and distributed systems architectures is a plus.
Professional Skills
- 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.