Senior Pipeline & Revenue Forecasting Lead

Amazon

Dallas (TX)

On-site

USD 134,000 - 181,000

Full time

6 days ago
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Job summary

Amazon in Dallas, TX is seeking a Sr. Pipeline & Revenue Planning Lead to own quarterly pipeline forecasting and revenue-to-pipeline analytics.

You’ll drive data-driven targets, design scalable forecasting mechanisms, and collaborate with ASP Ops, Finance, and Data Science to translate market signals into planning-ready metrics. The role emphasizes AI-enabled automation and measurement across AWS Specialists and Partners, with a focus on proactive variance diagnosis and leadership-ready

Qualifications

  • 7+ years of experience in sales operations, revenue operations, or business planning with direct ownership of pipeline forecasting or quota/target-setting.
  • Experience building and owning forecasting models that combine quantitative methods with business judgment.

Responsibilities

  • Own the quarterly pipeline forecasting and target-setting mechanism for AWS Specialists and Partners.
  • Build and maintain the revenue-to-pipeline bridge connecting bookings, revenue recognition, and pipeline generation.
  • Serve as the focal point across ASP Ops, SMGS Ops, and Finance to design and govern scalable forecasting mechanisms augmented with AI-powered agents.
  • Own operational readiness and planning implementation for new partner revenue metrics with cross-functional teams.
  • Proactively identify forecast divergences, diagnose root causes, and provide recommendations to senior leadership.
  • Translate analytical outputs into clear, decision-ready recommendations for ASP leadership.

Skills

Forecasting
Data analysis
Cross-functional collaboration
AI-enabled automation

Tools

BI tools

Job description

Amazon in Dallas, TX is seeking a Sr. Pipeline & Revenue Planning Lead to own quarterly pipeline forecasting and revenue-to-pipeline analytics.

You’ll drive data-driven targets, design scalable forecasting mechanisms, and collaborate with ASP Ops, Finance, and Data Science to translate market signals into planning-ready metrics. The role emphasizes AI-enabled automation and measurement across AWS Specialists and Partners, with a focus on proactive variance diagnosis and leadership-ready

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