Principal Modern Planner

We are looking for a Principal Modern Planner to own demand planning and forecasting for networking hardware supporting large-scale cloud data center builds and expansions.

This role will connect data center build plans, network architecture, product roadmaps, engineering changes, BOMs, and historical demand to a long-range view of hardware requirements. The planner will work across Networking Engineering, Network Architecture, Data Center Planning, Product, Supply Chain, Procurement, Finance, and Data/Analytics to understand the underlying demand drivers, reconcile different inputs, and improve the quality and consistency of the demand plan.

The role also has a strong analytics and data component. The successful candidate will use forecasting, statistical analysis, data modeling, automation, and AI/ML to improve planning processes, identify issues in the demand signal, and provide better visibility into future capacity and supply requirements.

This is a hands-on Principal role for someone who can move between planning strategy, detailed data analysis, and networking hardware fundamentals, and who can work effectively with both technical teams and senior leadership.

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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: $90,100 to $209,500 per annum. May be eligible for bonus and equity.

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.

As part of Oracle''s onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment.

• Own demand planning and forecasting for networking hardware supporting data center builds, expansions, and ongoing capacity requirements.

• Develop and maintain long-range demand forecasts, including 24+ month outlooks, across networking products, platforms, and SKUs.

• Work with Data Center Planning, Network Engineering, Product, Supply Chain, Procurement, and Finance to understand upcoming builds, deployment timing, architecture changes, and other demand drivers.

• Translate data center build plans and network architecture requirements into hardware and component demand, including the relationship between capacity, racks, network topology, BOMs, and SKUs.

• Develop forecasting models using historical demand, deployment trends, engineering inputs, product roadmaps, and other relevant signals.

• Build scenarios to understand the demand impact of changes in data center build timing, network architecture, product transitions, capacity plans, and supply constraints.

• Work with engineering teams to incorporate BOM changes, new product introductions, product transitions, substitutions, and EOL/EOS plans into the forecast.

• Identify issues in the demand signal, including double counting, overlapping assumptions, missing requirements, and inconsistent inputs across planning processes.

• Establish metrics and analytical methods to measure forecast accuracy, bias, volatility, and confidence, and use those insights to improve the planning process.

• Build and maintain the data and analytical foundation needed to connect data center plans, deployment information, engineering/BOM data, demand, supply, and inventory.

• Automate recurring planning, reconciliation, and reporting processes using SQL, Python, and other analytical technologies.

• Apply statistical forecasting, machine learning, optimization, simulation, and AI where they can materially improve planning quality or reduce manual work.

• Establish a regular planning cadence with engineering and business partners, including mechanisms for reviewing assumptions, reconciling changes, and obtaining alignment on the demand plan.

• Prepare analysis and recommendations for senior leadership on demand changes, capacity requirements, supply risks, and key planning assumptions.

• Lead complex planning issues across organizational boundaries and drive them to resolution.

• Mentor other planners and analytical team members and help establish scalable planning practices.

Required Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Statistics, Operations Research, Supply Chain, Economics, or a related field.

• 5-8 years of experience in demand planning, forecasting, capacity planning, supply-chain planning, analytics, operations research, or a related area.

• Experience working with technology hardware, networking, semiconductor, cloud infrastructure, or data center infrastructure.

• Strong understanding of demand forecasting and long-range planning, including forecast accuracy, bias, scenario planning, and demand drivers.

• Experience working with complex hardware products, including BOMs, SKUs, product lifecycle, NPI, EOL/EOS, and product transitions.

• Experience connecting engineering, deployment, or infrastructure plans to hardware demand.

• Strong analytical and quantitative skills, including hands-on experience with SQL and Python/R.

• Experience working with large datasets and using data to investigate problems and support planning decisions.

• Strong cross-functional communication skills and experience working with engineering, supply chain, product, and business stakeholders.

• Ability to operate independently, navigate ambiguity, and influence decisions across organizations.

Preferred Qualifications

• Experience with data center build and deployment planning or cloud infrastructure capacity planning.

• Experience with networking hardware such as Ethernet switches, NICs, DPUs/SmartNICs, optical transceivers, cables, or related components.

• Familiarity with data center networking architectures and high-performance/AI networking.

• Experience developing models that connect data center builds and network architecture to BOM and SKU-level demand.

• Experience with networking or semiconductor supply chains, including lead times, constraints, allocation, substitutions, and technology transitions.

• Experience with time-series forecasting, probabilistic forecasting, machine learning, optimization, simulation, or other advanced analytical methods.

• Experience building data pipelines, analytical datasets, dashboards, or planning tools.

• Experience using GenAI or automation to improve planning and forecasting processes.

• Experience presenting planning analysis and recommendations to senior engineering or business leadership.

• Own demand planning and forecasting for networking hardware supporting data center builds, expansions, and ongoing capacity requirements.

• Develop and maintain long-range demand forecasts, including 24+ month outlooks, across networking products, platforms, and SKUs.

• Work with Data Center Planning, Network Engineering, Product, Supply Chain, Procurement, and Finance to understand upcoming builds, deployment timing, architecture changes, and other demand drivers.

• Translate data center build plans and network architecture requirements into hardware and component demand, including the relationship between capacity, racks, network topology, BOMs, and SKUs.

• Develop forecasting models using historical demand, deployment trends, engineering inputs, product roadmaps, and other relevant signals.

• Build scenarios to understand the demand impact of changes in data center build timing, network architecture, product transitions, capacity plans, and supply constraints.

• Work with engineering teams to incorporate BOM changes, new product introductions, product transitions, substitutions, and EOL/EOS plans into the forecast.

• Identify issues in the demand signal, including double counting, overlapping assumptions, missing requirements, and inconsistent inputs across planning processes.

• Establish metrics and analytical methods to measure forecast accuracy, bias, volatility, and confidence, and use those insights to improve the planning process.

• Build and maintain the data and analytical foundation needed to connect data center plans, deployment information, engineering/BOM data, demand, supply, and inventory.

• Automate recurring planning, reconciliation, and reporting processes using SQL, Python, and other analytical technologies.

• Apply statistical forecasting, machine learning, optimization, simulation, and AI where they can materially improve planning quality or reduce manual work.

• Establish a regular planning cadence with engineering and business partners, including mechanisms for reviewing assumptions, reconciling changes, and obtaining alignment on the demand plan.

• Prepare analysis and recommendations for senior leadership on demand changes, capacity requirements, supply risks, and key planning assumptions.

• Lead complex planning issues across organizational boundaries and drive them to resolution.

• Mentor other planners and analytical team members and help establish scalable planning practices.

Required Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Statistics, Operations Research, Supply Chain, Economics, or a related field.

• 5-8 years of experience in demand planning, forecasting, capacity planning, supply-chain planning, analytics, operations research, or a related area.

• Experience working with technology hardware, networking, semiconductor, cloud infrastructure, or data center infrastructure.

• Strong understanding of demand forecasting and long-range planning, including forecast accuracy, bias, scenario planning, and demand drivers.

• Experience working with complex hardware products, including BOMs, SKUs, product lifecycle, NPI, EOL/EOS, and product transitions.

• Experience connecting engineering, deployment, or infrastructure plans to hardware demand.

• Strong analytical and quantitative skills, including hands-on experience with SQL and Python/R.

• Experience working with large datasets and using data to investigate problems and support planning decisions.

• Strong cross-functional communication skills and experience working with engineering, supply chain, product, and business stakeholders.

• Ability to operate independently, navigate ambiguity, and influence decisions across organizations.

Preferred Qualifications

• Experience with data center build and deployment planning or cloud infrastructure capacity planning.

• Experience with networking hardware such as Ethernet switches, NICs, DPUs/SmartNICs, optical transceivers, cables, or related components.

• Familiarity with data center networking architectures and high-performance/AI networking.

• Experience developing models that connect data center builds and network architecture to BOM and SKU-level demand.

• Experience with networking or semiconductor supply chains, including lead times, constraints, allocation, substitutions, and technology transitions.

• Experience with time-series forecasting, probabilistic forecasting, machine learning, optimization, simulation, or other advanced analytical methods.

• Experience building data pipelines, analytical datasets, dashboards, or planning tools.

• Experience using GenAI or automation to improve planning and forecasting processes.

• Experience presenting planning analysis and recommendations to senior engineering or business leadership.