below marketmost similar roles pay hereabove market
This role pays less than
80%
of similar roles. Most pay
$155,900–$217,737
— the blue band above.
At the midpoint, this role pays about
$150k
versus about
$187k
for comparable roles.
Based on 240 similar postings.
Employer
About Oracle
Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.
Oracle currently has
964 open roles
on FindRole.
Listed pay typically runs
$103,000–$234,600
across 787 roles with salary data.
The Principal Modern Planner owns demand planning and forecasting for networking hardware supporting large-scale cloud data center builds and expansions. This role involves connecting data center build plans, network architecture, product roadmaps, and engineering changes to a long-range view of hardware requirements. You will develop forecasting models, build scenarios for capacity impacts, and reconcile inputs from engineering, supply chain, and finance teams. The position requires a strong analytical focus, utilizing SQL, Python, and R to automate processes and apply statistical forecasting, machine learning, optimization, simulation, and AI to improve planning quality. You will manage complex hardware components including BOMs and SKUs while identifying issues in the demand signal. The work focuses on translating infrastructure requirements into accurate hardware demand for high-performance networking environments.
Own demand planning and forecasting for networking hardware supporting large-scale data center builds and expansions.
Develop long-range demand forecasts exceeding 24 months across various products, platforms, and SKUs.
Translate complex network architecture requirements into specific hardware components and BOM-level demand.
Build forecasting models using historical data, engineering inputs, product roadmaps, and other relevant signals.
Create scenarios to analyze the impact of changes in build timing, infrastructure transitions, and supply constraints.
Identify and resolve issues in the demand signal such as double counting or inconsistent inputs.
Automate recurring planning, reconciliation, and reporting processes using SQL, Python, and AI/ML technologies.
Provide data-driven recommendations to senior leadership regarding capacity requirements and potential supply risks.
What we're looking for
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.
Python
SQL
Machine Learning
Time-series Forecasting
Statistical Modeling
Data Pipelines
Deep Learning
Gradient Boosting
Optimization
Simulation
GenAI
LLMs
Cloud Data Platforms
Distributed Data Processing
Data Science
Operations Research