Senior Manager Global Capacity and Operational Planning (Community Support)

Senior Manager Global Capacity and Operational Planning (Community Support) United States The Community You Will Join: The Community Support org handles tens of millions of interactions yearly, engaging with Airbnb customers by phone, messaging, chat, or social media channels. The group handles hundreds of issues across categories including Cancellations, Account Issues, Refunds, Payments, Reservations, Extenuating Circumstances, Booking & Listing issues, Safety & Claims. The organization is globally distributed with offices in San Francisco, Dublin, Montreal, Seattle, Singapore, Manila, Gurgaon and an extensive partner network serving all regions. The Difference You Will Make: We are looking for a Senior Manager for Demand Planning on our Community Support (CS) team. This leader is responsible for leading demand forecasting and long-term planning strategy across multi-channel contact center operations for our Global Operations team. This role ensures the organization has the right resources, at the right time, with the right skills to meet service level objectives while optimizing cost and productivity. The role combines planning, advanced analytics, business partnership, and people leadership to drive scalable, data‑driven workforce decisions in a complex, fast‑changing environment. A Typical Day: Demand Forecasting & Statistical Modeling Own short‑term, mid‑term, and long‑term demand forecasting across all Global Operations teams and channels (phone, messaging, email, back‑office etc.). Design, develop, and maintain statistically robust demand forecasting models using time series and machine learning techniques (e.g., exponential smoothing, ARIMA, regression‑based models etc.). Perform trend, seasonality, and variance decomposition; detect structural breaks, outliers, and demand anomalies. Quantify forecast uncertainty through confidence intervals, error distributions, and bias analysis. Lead scenario modeling for peak demand periods, product launches, growth initiatives, and unplanned demand events. Continuously assess model performance using statistical accuracy metrics (MAPE, RMSE, MAE, bias etc.). Establish model governance standards, including documentation, validation, back‑testing, and post‑mortem analysis. Research, prototype, and implement new forecasting and optimization techniques as business needs evolve. Perform scenario planning and sensitivity analysis to quantify trade‑offs between service levels, cost, and utilization. Advanced Analytics In partnership with the Analytics and Data Engineering team, design and build scalable planning data pipelines, dashboards, and automate forecasting and capacity models to improve scalability, repeatability, and timeliness. Use SQL and Python to extract, transform, and analyze large‑scale operational datasets to monitor forecast accuracy, capacity gaps, utilization, and operational risk. Decision Support & Stakeholder Communication Present forecast assumptions, methodologies, risks, trade‑offs, and recommendations in clear, executive‑ready formats and act as a trusted advisor to senior leadership and lead demand/capacity planning discussions in cross‑functional forums. Align cross‑functional stakeholders (Delivery, Product, Finance, HR, and others) to embed planning outputs into execution and operational decision‑making. Identify and implement process improvements, automation, and best practices in the demand and capacity planning area to optimize cost while maintaining or improving customer experience and service‑level outcomes. Lead, mentor, and develop planning analysts in quantitative methods, statistical rigor, and coding best practices. Review and approve forecasting and capacity models for accuracy, scalability, and business relevance. Set clear goals, high performance expectations, and career development paths for the team. Foster a culture of data‑driven decision‑making, accountability, and continuous improvement. Your Expertise: 12+ years of experience in demand forecasting, capacity planning, workforce analytics, or applied analytics. 5+ years of people management experience. Bachelor’s degree in Mathematics, Statistics, Operations Research, Engineering, Economics, Data Science, or a related quantitative field. Strong foundation in probability, statistics, and optimization. Hands‑on experience building and validating forecasting models (time series analysis, exponential smoothing, ARIMA, regression, hypothesis testing) and capacity models (Erlang, queueing theory, service‑level and utilization modeling). Strong understanding of contact center metrics (AHT, ASA, service level, shrinkage, occupancy); experience supporting large‑scale, multi‑site, or global contact center environments preferred. Advanced analytical skills with strong proficiency in Excel, Google Sheets, SQL, Python and data visualization tools such as Tableau. Experience with WFM tools (e.g., NICE, Verint, Aspect) or planning platforms (e.g., Anaplan) preferred. Strong business acumen with the ability to balance cost efficiency and customer experience outcomes. Excellent communication, executive presentation, and stakeholder influence skills; ability to explain complex analytical concepts to non‑technical audiences. Comfortable operating in fast‑paced, ambiguous, and highly dynamic environments. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively‑led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at View email address on click.appcast.io. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. #J-18808-Ljbffr airbnb, Inc.