Demand Planning Supervisor

Posted 2 Days Ago
Be an Early Applicant
5 Locations
Remote
Senior level
Hardware • Software • Analytics
The Role
Lead LATAM demand planning and sales forecasting by consolidating ERP and sales inputs, building probability-weighted forecasts, driving SIOP, monitoring forecast accuracy, creating Power BI dashboards, and aligning Sales with Operations for planning and budgeting.
Summary Generated by Built In

POSITION SUMMARY

This role is responsible for leading the demand planning and sales forecasting processes for the LATAM region. The Demand Planning Manager combines analytical expertise with cross-functional collaboration to develop accurate demand forecasts based on sales pipeline analysis, historical data, seasonality, and market trends. This position serves as the critical link between Sales and Operations, translating commercial inputs into actionable demand signals that drive the Sales, Inventory and Operations Planning (SIOP) process. The role requires a deep understanding of the Lead to Post Sales cycle and the ability to synthesize structured and unstructured data into reliable forecasts that enable executive decision-making and resource allocation across the region.

RESPONSIBILITIES

Demand Planning & Forecasting:

  • Develop demand forecasts based on sales pipeline data, historical performance, seasonality patterns, and market trends, consolidating inputs from multiple Enterprise Resource Planning systems (Oracle, SAP) and sales tools (VertivWeb).
  • Analyze the sales funnel including leads, opportunities, conversion rates, deal size, and sales cycle length to project future demand using probability-weighted opportunities and expected close timelines.
  • Lead the monthly orders and sales forecast process, consolidating actuals information plus backlog and future orders to elaborate a proposal for the executive team to discuss and adjust. This includes combining structured data from Enterprise Resource Planning systems with non-structured data from Sales teams (risks, upsides, shortfalls).
  • Collaborate with Sales Directors, Key Account Managers, and segment leaders to validate forecast assumptions, gather market intelligence, and align on demand expectations.
  • Support the commercial forecasting process and translate sales inputs into demand signals for Supply Chain and Operations teams.

Performance Monitoring & Analytics:

  • Monitor and analyze gaps between pipeline, forecast, and actual sales results, identifying root causes of variances and recommending corrective actions.
  • Build, track, and report Key Performance Indicators including forecast accuracy, pipeline coverage, win rate, and forecast bias, ensuring visibility for leadership decision-making.
  • Develop "what-if" scenarios to support commercial and strategic decisions, including sensitivity analysis for different market conditions and business assumptions.
  • Create and automate dashboards and reports for pipeline and demand visibility, leveraging Power Business Intelligence (Power BI) and other data visualization tools.

Sales, Inventory and Operations Planning (SIOP) & Cross-functional Integration:

  • Lead the Sales, Inventory and Operations Planning (SIOP) process from the Sales perspective, ensuring demand signals are accurately captured and communicated to Operations and Supply Chain.
  • Engage with regional and global teams on demand planning initiatives, including Americas Sales Operations, Global Operations, and Business Unit planning teams.
  • Support the Top Line budget definition process by providing demand-based inputs and historical trend analysis to inform annual planning targets.

 

Minimum Job Qualifications:

  • Minimum 5 years of proven experience performing planning, demand forecasting, strategy, or sales-related support activities.
  • Demonstrated ability to work cross-functionally with Sales, Operations, and Finance teams.
  • Strong analytical skills with experience in data consolidation from multiple sources.

Preferred Qualifications:

  • Experience in Sales, Inventory and Operations Planning (SIOP) / Sales and Operations Planning (S&OP) processes.
  • Experience in manufacturing or technology industries.
  • Knowledge of statistical forecasting methods and demand planning best practices.
  • Proven track record of improving forecast accuracy in a regional or multi-country environment.

EDUCATION AND CERTIFICATIONS

Minimum:

  • Business Administration, Industrial Engineering, Systems Engineering, Economics, or related field degree.
  • Fluent English skills.

Preferred / Desirable:

  • Specialization in Sales, Data Science, or Operations Research.

Required Tools / Systems Knowledge:

  • Must be up to date on relevant Information Technology tools, including but not limited to the full Microsoft Office package (Excel, Word, PowerPoint, Project, Visio, Outlook).
  • Power Business Intelligence (Power BI) for dashboard creation and data visualization.
  • Oracle Enterprise Business Suite and/or SAP for data extraction and reporting.
  • Understanding of database structures, cloud environments, and data management principles.

PHYSICAL REQUIREMENTS

  • No Special Physical Requirements

ENVIRONMENTAL DEMANDS

  • No Special Environmental Demands

TRAVEL TIME REQUIRED

15%

About the Team
Work Authorization

No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.

Equal Opportunity Employer

We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability.

Skills Required

  • Minimum 5 years of experience in planning, demand forecasting, strategy, or sales-related support activities
  • Experience working cross-functionally with Sales, Operations, and Finance
  • Strong analytical skills with experience in data consolidation from multiple sources
  • Proficiency with Microsoft Office suite (Excel, Word, PowerPoint, Project, Visio, Outlook)
  • Power BI for dashboard creation and data visualization
  • Experience extracting/reporting data from Oracle Enterprise Business Suite and/or SAP
  • Understanding of database structures, cloud environments, and data management principles
  • Business Administration, Industrial Engineering, Systems Engineering, Economics, or related degree
  • Fluent English skills
  • Experience in Sales, Inventory and Operations Planning (SIOP) / S&OP processes
  • Experience in manufacturing or technology industries
  • Knowledge of statistical forecasting methods and demand planning best practices
  • Proven track record of improving forecast accuracy in a regional or multi-country environment
  • Specialization in Sales, Data Science, or Operations Research
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The Company
HQ: Columbus, OH
8,435 Employees
Year Founded: 2016

What We Do

Vertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to ensure its customers’ vital applications run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today’s data centers, communication networks and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Columbus, Ohio, USA, Vertiv employs approximately 20,000 people and does business in more than 130 countries. For more information, and for the latest news and content from Vertiv, visit Vertiv.com.

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