Sr Director Data Automation, Supply Chain
Oracle · Santa Clara, United States · 2mo ago
Oracle Cloud Infrastructure (OCI) is seeking a visionary Senior Director of Data and Automation to lead the digital transformation of OCI’s global supply chain operations. This leader will drive the development of advanced data platforms, AI-enabled automation, predictive analytics, and intelligent decision-support systems that enable OCI’s supply chain organization to scale efficiently in support of rapid cloud infrastructure growth.
This role will lead a multidisciplinary organization of data scientists, data engineers, AI/ML experts, and analytics professionals focused on building next-generation automation capabilities across forecasting, supply planning, inventory management, manufacturing operations, logistics, and deployment execution.
The ideal candidate combines deep expertise in supply chain operations with strong technical leadership in AI, machine learning, data engineering, and enterprise-scale automation platforms.
Key Responsibilities
AI & Automation Strategy
Lead the strategy and execution of supply chain automation and digital transformation initiatives across the Supply Chain organization.
Develop and implement AI-driven capabilities that improve operational efficiency, scalability, and decision-making across supply chain functions.
Drive the elimination of manual, non-value-added work through intelligent automation, predictive workflows, and advanced analytics.
Build machine learning models and automation tools supporting forecasting, supply planning, inventory optimization, yield management, logistics, cost management, and manufacturing execution.
Identify opportunities to leverage AI and advanced analytics to improve supply continuity, operational responsiveness, and deployment readiness.
Data Science, Engineering & Analytics Leadership
Develop, lead, and grow high-performing teams of data scientists, data engineers, AI/ML specialists, and analytics professionals.
Design tools to oversee the full lifecycle of supply chain including data management, modeling, governance, and visualization.
Develop scalable data architectures and system capabilities supporting real-time operational intelligence and predictive analytics.
Ensure data quality, integrity, and accessibility across global supply chain systems and operational platforms.
Drive adoption of modern analytics, AI, and automation technologies across the organization.
Operational Intelligence & Decision Support
Develop advanced metrics, dashboards, and operational control towers that provide end-to-end visibility of the health of the business across supply chain operations.
Build intelligent alerting and alarm systems that proactively identify risks, issues, and operational bottlenecks requiring intervention, assessment and decision-making.
Design predictive monitoring systems enabling faster escalation management and improved operational resilience.
Deliver executive-level insights and analytics supporting strategic planning, operational execution, and infrastructure scaling decisions.
Partner with Supply Planning, Materials Management, Manufacturing, Sourcing, Logistics, Capacity Management, and Data Center Operations teams to improve operational visibility and execution.
Cross-Functional Transformation Leadership
Lead enterprise-wide automation and transformation programs that enable OCI’s Supply Chain Organization to scale globally.
Drive process standardization, workflow optimization, and operational excellence initiatives across global teams.
Influence organizational strategy through data-driven recommendations and technology innovation.
Supply Chain & Infrastructure Operations Support
Support operational readiness for OCI’s rapidly expanding cloud infrastructure and data center footprint.
Automate critical Key Performance Indicator and metrics to be used to implement more control over day-to-day business operations.
Enable forecasting accuracy, inventory optimization, supplier performance management, manufacturing readiness, and logistics execution through advanced analytics.
Develop predictive models and operational tools that improve supplier commits, capacity planning, deployment scheduling, and material availability.
Help mitigate operational risk through proactive analytics, scenario modeling, and automation-driven decision support.
Required Qualifications
Experience
12+ years of experience in data analytics, automation, AI/ML, or enterprise transformation roles.
Proven experience leading data team in technology or supply chain environments.
Experience building tools, models and dashboards across cross functional teams.
Strong background building data and analytics platforms supporting operational execution.
Experience driving AI, machine learning, and automation initiatives within supply chain or operational organizations.
Demonstrated success leading systems enhancements and process optimization programs.
Experience supporting hardware operations, manufacturing, logistics, or hyperscale infrastructure environments preferred.
Technical Skills
Strong expertise in AI/ML technologies, predictive analytics, automation frameworks, and data engineering.
Experience with SQL, Python, data modeling, ETL/data pipelines, and business intelligence tools.
Familiarity with Oracle Fusion Cloud Applications including SCM, Procurement, Planning, and ERP systems preferred.
Experience building operational dashboards, control towers, KPI frameworks, and alerting systems.
Knowledge of forecasting, supply planning, inventory management, manufacturing operations, and logistics processes.
Experience with cloud technologies and distributed systems architectures preferred.
Leadership & Communication
Strong executive presence with the ability to translate complex analytics into actionable business decisions.
Proven ability to lead through ambiguity in a rapidly scaling operational environment.
Exceptional collaboration and stakeholder management skills across technical and operational organizations.
Demonstrated ability to build high-performing teams and foster a culture of innovation, accountability, and continuous improvement.
Preferred Qualifications
Experience in cloud infrastructure, hyperscale data center operations, or large-scale hardware supply chains.
Experience implementing AI-driven operational control towers or autonomous supply chain solutions.
Familiarity with Lean, Six Sigma, or operational excellence methodologies.
Experience with advanced visualization and analytics platforms.
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: $169,800 to $355,400 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:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. 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.
9. 11 paid holidays
10. 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.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. 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 - M5