Director, Capacity Planning

Salesforce

. Drive strategic infrastructure capacity-planning decisions supporting Salesforce’s global platform .

Posted 11/12/2026full-timeUnited StatesLead💰 $197,300 - $313,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in capacity planning, financial modeling, and analytics, with a strong focus on data quality and strategic decision-making. Proficient in SQL and Python for statistical modeling and automation of analytical workflows.

Highest-signal resume keywords

Capacity PlanningFinancial ModelingSQL ProficiencyPython ProficiencyStatistical Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Capacity PlanningFinancial ModelingStatistical ModelingTime-Series ForecastingDriver-Based ModelsData Quality ChecksDashboard DevelopmentAnalytical Workflow AutomationData Lineage TracingSensitivity Analysis

Soft Skills

Analytical SkillsAttention to DetailStakeholder CommunicationTeam LeadershipData Presentation

Tools & Technologies

SQLPythonTableauAI AssistantsModel Context Protocol (MCP)

Industry Keywords

Infrastructure Capacity PlanningBusiness IntelligenceOperationsAnalyticsC-Suite Engagement

Tech Stack

Tools & technologies

CloudPandasPythonSQLTableau

About the role

Key responsibilities & impact

Drive strategic infrastructure capacity-planning decisions supporting Salesforce’s global platform
Work across product, engineering, technical service, and executive teams
Synthesize data streams to build models informing capital allocation and infrastructure investments
Evaluate architectural frameworks, product and design roadmaps, go-to-market strategies, and user-growth models
Manage financial and availability risk across software and hardware
Enhance capacity-planning data foundations covering demand, utilization, reservations, supplier availability, and cost
Lead demand forecasts and scenario models quantifying uncertainty, shortfall risk, and excess-capacity cost
Track forecast accuracy and bias and improve planning assumptions using actual results
Manage a team of 3–5 capacity planners
Manage cloud reservations across multiple IaaS providers
Apply AI assistants and agent workflows to automate data investigation, variance analysis, scenario preparation, and executive reporting
Measure improvements in planning cycle time and analytical quality with human review of consequential recommendations
Develop the team’s SQL, Python, statistical modeling, and AI capabilities through coaching, reusable methods, and peer review

Requirements

What you’ll need

7+ years of experience in operations, business intelligence, strategy, capacity planning, financial modeling, analytics, or similar positions in a related field
Strong analytical skills and experience consolidating complex datasets across unconnected systems and platforms
Fundamental knowledge of systems infrastructure and how services interact with underlying hardware
Experience building statistical models
Proven track record using data to influence, advise, and align C-suite and board-level executives at large public companies on complex, high-stakes infrastructure and financial investments
Experience presenting data consistently and repeatably to various stakeholders
Attention to detail with a focus on data quality
BA/BS in Statistics, Economics, Business, Operations, or Computer Science/Engineering is preferred; equivalent degree or experience is acceptable
Proficiency with SQL, Python, Claude skills/MCP, and prompt engineering
Hands-on SQL proficiency with joins, aggregations, and window functions
Python proficiency, including pandas or equivalent libraries
Experience with time-series forecasting, driver-based models, backtesting, prediction intervals, and sensitivity analysis
Experience defining metrics, tracing data lineage, and implementing data-quality checks
Ability to build dashboards in Tableau or an equivalent platform
Experience using enterprise AI assistants for SQL/Python development and analytical workflow automation
Ability to design prompts, ground outputs in approved data, validate generated code and conclusions, and evaluate accuracy and business impact
Experience building AI workflows using APIs, reusable skills, or Model Context Protocol (MCP), with access controls and human approval steps
Experience in capacity management, planning, forecasting, and scheduling is a plus

Benefits

Comp & perks

Time off programs
Medical insurance
Dental insurance
Vision insurance
Mental health support
Paid parental leave
Life insurance
Disability insurance
401(k)
Employee stock purchasing program
Equity, where applicable
Bonus or incentive compensation, where applicable
Reasonable accommodation during the application or recruiting process