Principal Data Scientist – Supply Chain Operations

Oracle; Nashville (TN); On-site; USD 115,000 - 235,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid time off

Disability insurance

Employee Stock Purchase Plan

Job summary

Oracle OCI seeks a Principal Data Automation Engineer to design, develop, and implement advanced data platforms, AI-enabled automation, predictive analytics, and operational intelligence across OCI's global supply chain.

You will partner with Supply Planning, Manufacturing, Sourcing, Logistics, and Engineering to build intelligent automation and data products that enable proactive management of supply chain operations, requiring deep technical expertise and cross-functional influence.

Qualifications

• 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.

Responsibilities

• Design, build, and maintain scalable data automation solutions for OCI's global supply chain.
• Develop AI/ML models that improve forecasting, inventory optimization, and deployment execution.
• Identify opportunities to automate manual processes with analytics and intelligent workflows.
• Build reusable data frameworks and data products to improve efficiency and scalability.
• Evaluate emerging AI technologies and recommend practical applications across supply chain operations.
• Design and develop robust data pipelines and architectures for real-time reporting and analytics.
• Create dashboards, scorecards, and self-service analytics to improve visibility across functions.
• Collaborate with engineering to integrate data across Oracle Fusion Cloud Applications and cloud platforms.

Skills

SQL & Python

ETL/ELT pipelines

AI/ML techniques

Data modeling

BI Visualization

Cloud platforms

Forecasting concepts

Stakeholder influence

Tools

Oracle Analytics Cloud

Tableau

Power BI

Job description

Job Description

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

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.

Experience

Required Qualifications

• 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.

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 - $234,600 per year. 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.

• 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

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