Principal Modern Planner

Description

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.

Responsibilities

• 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.

• Bachelors or Masters 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.

• 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.

Qualifications
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: $90100 to $209500 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 Oracles 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 Oracles 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.