Senior Staff Demand Planning

NOTE: This position requires passing a ServiceNow background screening USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements only US citizens US naturalized citizens or US Permanent Residents holding a green card will be considered. 

This role will require at min 2 days a week in the office.

The Demand Planning team within ServiceNows FinOps organization is an innovative customer-focused group responsible for capacity demand planning forecasting cost measurement reporting and analysis for ServiceNows top-tier infrastructure. We aim to provide industry-leading work experiences for our customers. As an ML/AI engineer on the capacity planning team you will collaborate with a data-centric group of data scientists engineers and capacity planners. Our mission is to scale ServiceNows global rack server and data center capacity as and when required.

The team plays a critical role in managing and forecasting customer demand while overseeing capacity planning and analytics for ServiceNows global infrastructure. This includes adjusting forecasting models to incorporate hybrid cloud strategies and fine-tuning them to adapt to new multi-dimensional metricsensuring that ServiceNows global rack server and data center capacity is efficiently scaled as business needs evolve.

Additionally you will be instrumental in building and refining capacity forecasting models that utilize AI and Machine Learning (ML) techniques as well as designing analytics tools to predict resource demand across diverse infrastructure environments. This includes proactively identifying capacity-related issues leading experiments to determine scaling and utilization parameters for different service tiers and incorporating multi-dimensional metrics into the models. The role requires close collaboration with hardware capacity infrastructure platform engineering and cloud analytics teams to develop comprehensive capacity roadmaps and deliver actionable insights for a variety of cloud capacity engineering initiatives with a strong emphasis on supporting both traditional and hybrid cloud strategies.

What you get to do in this role:

• Design implement and deploy AI/ML-driven capacity forecasting models for long-range demand and supply planning.
• Convert demand forecasts into actionable server and rack requirements.
• Enhance forecasting accuracy by incorporating multi-dimensional metrics and hybrid cloud strategies.
• Run forecast scenarios to optimize scaling and utilization across service tiers.
• Collaborate with hardware infrastructure and cloud analytics teams to develop capacity roadmaps.
• Track and report forecast variability presenting insights to leadership.
• Apply advanced techniques (ARIMA RNN LSTM NOW AI) to improve predictive models.
• Build analytics tools to identify bottlenecks and proactively address capacity issues.

Qualifications :

To be successful in this role you have:

• Experience in leveraging or critically thinking about how to integrate AI into work processes decision-making or problem-solving. This may include using AI-powered tools automating workflows analyzing AI-driven insights or exploring AIs potential impact on the function or industry.
• 12 years of related experience with a Bachelors degree; or 8 years and a Masters degree; or a PhD with 5 years experience in Computer Science Data Analytics or related field; or equivalent experience.
• Technical Expertise:
  • Programming: Python Java; strong OOP and algorithmic skills.
  • AI/ML: Time series modeling regression Bayesian forecasting econometrics.
  • Tools: TensorFlow PyTorch Spark Hive-Hadoop Big Data frameworks.
  • Data Visualization: Python Tableau Excel Lightdash BI tools
• Experience in developing new products that utilize challenging high-performance algorithms.
• Expertise in coding efficient object-oriented modularized and high-quality software.
• Expertise in core AI/ML techniques and algorithms.
• Understanding of unit testing profiling and code tuning.
• Additional Skills: ServiceNow platform architecture (CMDB instance topology) unit testing profiling and code optimization.
• Strong communication and cross-functional collaboration skills.

GCS-23

Additional Information :

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible remote or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color creed religion sex sexual orientation national origin or nationality ancestry age disability gender identity or expression marital status veteran status or any other category protected by addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process or are unable to use this online application and need an alternative method to apply please contact for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations including the U.S. Export Administration Regulations (EAR) ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

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Remote Work :

No

Employment Type :

Full-time