Strategic Revenue Forecasting & Pipeline Lead

Ingram Micro Inc; Buffalo (NY); On-site; USD 89,000 - 151,000; Full time

Job summary

Ingram Micro Inc. in Buffalo, NY, seeks a Forecasting & Pipeline Pillar Lead to own the strategy, standards, governance, and operating rhythms that create a reliable view of revenue gap, surplus, risk, and required action.

This role builds scalable, repeatable programs and increases leadership confidence in revenue visibility across sales teams. It requires cross-functional leadership, data quality improvement, and adoption of standardized forecasting practices with the analytics, CRM, and

Qualifications

• Experience in Revenue Operations or Sales Operations.
• Experience designing forecasting, pipeline management, or revenue-governance programs.
• Strong understanding of CRM data, revenue analytics, and performance-management practices.
• Ability to translate complex data into practical recommendations and executive-level communication.
• Proven ability to influence cross-functional stakeholders and drive change without direct authority.

Responsibilities

• Define and maintain forecasting methodology, principles, categories, and standards for the sales organization.
• Own end-to-end pipeline governance, data hygiene, and weekly risk management cadence.
• Partner with analytics, CRM, and business teams to provide a trusted view of pipeline performance.
• Build a charter, roadmap, milestones, and governance for cross-functional initiatives.
• Align Sales, Finance, Analytics, product, and enablement around a shared operating model.

Skills

Forecasting

Pipeline management

Revenue analytics

Cross-functional collaboration

Change management

Job description

Ingram Micro Inc. in Buffalo, NY, seeks a Forecasting & Pipeline Pillar Lead to own the strategy, standards, governance, and operating rhythms that create a reliable view of revenue gap, surplus, risk, and required action.

This role builds scalable, repeatable programs and increases leadership confidence in revenue visibility across sales teams. It requires cross-functional leadership, data quality improvement, and adoption of standardized forecasting practices with the analytics, CRM, and