Associate Manager, Forecasting

Job Summary

The Workforce Demand Forecasting team is part of Global Support and Integrity Operations. We help DoorDash deliver reliable, efficient, and high quality support by translating business activity into demand forecasts and actionable planning insights.

Our work informs customer experience, workforce investment, operational readiness, and cost. We partner with Workforce Management, Operations, Finance, Business Intelligence, Data Science, Product, and Engineering to improve forecast accuracy, strengthen planning decisions, and build scalable operating mechanisms.

The team supports a broad set of global support workstreams. Our goal is to provide leaders with the forecasts, insights, and decision frameworks needed to balance service, customer experience, and cost.

About the Role

We are seeking an Associate Manager to lead a defined set of Forecasting workstreams and strengthen the team s operating model.

This role goes beyond forecast production. You will own workstream performance from end to end, including forecast quality, prioritization, business readiness, stakeholder alignment, and continuous improvement. You will translate complex data into clear recommendations, make informed tradeoffs, and help leaders understand key risks, opportunities, and decisions.

You will also guide and develop analysts through coaching, technical support, and clear performance expectations. The ideal candidate combines analytical depth, strategic judgment, operational discipline, and strong cross functional influence.

Success in this role requires advanced SQL skills, strong business acumen, and demonstrated experience improving forecasting, planning, or operational processes at scale.

Responsibilities

• Forecasting Performance and Business Readiness: Lead demand forecasting across designated business lines and workstreams, with accountability for forecast accuracy, assumptions, risks, and recommended actions across planning horizons. Ensure forecasts reflect key demand drivers, including initiatives, promotions, operational changes, and seasonality, while establishing consistent mechanisms for performance reviews, root-cause analysis, and continuous improvement.
• End-to-End Workstream Leadership: Serve as the primary Forecasting leader for assigned workstreams. Set priorities, align stakeholders, manage delivery, and make informed tradeoffs based on customer impact, operational risk, financial impact, and team capacity. Translate complex findings into clear recommendations and decision requests for senior leaders.
• Strategy, Scale, and Process Improvement: Identify and lead opportunities to improve forecasting methods, planning processes, data quality, systems, and automation. Build scalable solutions that improve accuracy, efficiency, and decision quality while adapting operating models to the needs of each business line.
• Data and Technical Partnership: Partner with Data Science, Business Intelligence, Data Engineering, and Software Engineering to shape forecasting capabilities. Define requirements for models, metrics, dashboards, datasets, and planning tools, resolve data and pipeline issues, and influence the roadmap for automation and machine learning.
• Talent Development and Operating Excellence: Coach analysts across forecasting, analytical problem solving, stakeholder management, and executive communication. Set clear expectations, strengthen accountability, standardize best practices, and help team members expand their judgment, scope, and cross-functional influence.

Qualifications

• You have a Masters Degree in a Quantitative field +4yrs of relevant experience OR a Bachelors in a Quantitative field +6yrs of relevant experience
• You bring strong experience in forecasting, demand planning, workforce management, operations strategy, business analytics, or a related field, with the ability to connect analytical insights to business decisions.
• You are highly proficient in SQL and Excel and can build and evaluate dashboards, metrics, models, and analytical tools across platforms such as Tableau, Sigma, Power BI, QuickSight, or Looker.
• You can translate ambiguous business problems into structured analyses, clear recommendations, and executable plans. You understand how to balance customer experience, operational performance, cost, and scalability.
• You have led complex, cross-functional initiatives from problem definition through implementation and measurement. You work effectively with Data Science, Business Intelligence, Data Engineering, Software Engineering, Operations, and Finance, and can influence without direct authority.
• You communicate clearly with individual contributors, cross-functional partners, and senior leaders. You exercise sound judgment, prioritize effectively across competing workstreams, and know when to escalate risks, recommend tradeoffs, or challenge existing processes.
• You are curious, proactive, and motivated to improve the DoorDash support ecosystem through better decisions, stronger operating mechanisms, and scalable solutions.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.