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Lead, Sales Operations Strategist @ Adobe

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 Lead, Sales Operations Strategist

Job Description

Strategic Ownership


  • Design and deploy advanced analytics frameworks (using Salesforce, Dynamics 365, Power BI/MS Fabric) to diagnose pipeline health, forecast accuracy, and conversion bottlenecks.
  • Partner with Sales, Finance, Marketing and Product teams to align quota structures, territory planning, pipe generation strategies and retention programs with revenue goals.
  • Spearhead the development of innovative solutions for automating pipeline upkeep, deal assessment, and churn prediction.
  • Solve complex business problems with data driven approaches.

Operational Excellence


  • Build scalable sales processes and playbooks to improve rep efficiency and manager quota attainment by 25%+.
  • Lead cross-functional initiatives to reduce sales cycle time and customer churn through data-backed process redesign.
  • Manage data accuracy in CRM systems to provide valuable insights for C-suite collaborators.

Leadership Without Authority


  • Mentor junior analysts and act as a trusted advisor to sales leadership, translating complex data into executive-ready narratives.
  • Foster a culture of accountability by implementing critical metrics for pipeline coverage, analysis of wins and losses, and representative performance.

What You Bring


  • Proficiency in: 10+ years in sales operations/analytics for enterprise SaaS, with proficiency in Salesforce, Power BI/Fabric, SQL, Python, and Gen AI tools.
  • Education: BTech/BE in Engineering, Math, CS, or Statistics + MBA or equivalent experience from a tier-1 institute.
  • Proven Impact: Portfolio of projects demonstrating pipeline optimization, forecasting accuracy, or churn reduction.
  • Attitude: Systems thinker who flourishes in ambiguityadept at arranging intricate problems into scalable solutions.
  • Communication: Persuasive storyteller who bridges technical depth with boardroom clarity.

Success Metrics (Year 1)

  • Increase sales manager quota attainment by 30% through enhanced forecasting models.
  • Reduce pipeline leakage by 20% via AI-powered deal prioritization.
  • Cut customer churn by 15% through predictive retention analytics.
  • Design and deploy advanced analytics frameworks (using Salesforce, Dynamics 365, Power BI/MS Fabric) to diagnose pipeline health, forecast accuracy, and conversion bottlenecks.
  • Partner with Sales, Finance, Marketing and Product teams to align quota structures, territory planning, pipe generation strategies and retention programs with revenue goals.
  • Spearhead the development of innovative solutions for automating pipeline upkeep, deal assessment, and churn prediction.
  • Solve complex business problems with data driven approaches.

Operational Excellence


  • Build scalable sales processes and playbooks to improve rep efficiency and manager quota attainment by 25%+.
  • Lead cross-functional initiatives to reduce sales cycle time and customer churn through data-backed process redesign.
  • Manage data accuracy in CRM systems to provide valuable insights for C-suite collaborators.

Leadership Without Authority


  • Mentor junior analysts and act as a trusted advisor to sales leadership, translating complex data into executive-ready narratives.
  • Foster a culture of accountability by implementing critical metrics for pipeline coverage, analysis of wins and losses, and representative performance.

What You Bring


  • Proficiency in: 10+ years in sales operations/analytics for enterprise SaaS, with proficiency in Salesforce, Power BI/Fabric, SQL, Python, and Gen AI tools.
  • Education: BTech/BE in Engineering, Math, CS, or Statistics + MBA or equivalent experience from a tier-1 institute.
  • Proven Impact: Portfolio of projects demonstrating pipeline optimization, forecasting accuracy, or churn reduction.
  • Attitude: Systems thinker who flourishes in ambiguityadept at arranging intricate problems into scalable solutions.
  • Communication: Persuasive storyteller who bridges technical depth with boardroom clarity.

Success Metrics (Year 1)

  • Increase sales manager quota attainment by 30% through enhanced forecasting models.
  • Reduce pipeline leakage by 20% via AI-powered deal prioritization.
  • Cut customer churn by 15% through predictive retention analytics.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Business Intelligence & Analytics
Role: Business Intelligence & Analytics - Other
Employement Type: Full time

Contact Details:

Company: Adobe
Location(s): Noida, Gurugram

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Keyskills:   Sales Operations Advanced Analytics Forecasting Pipeline Management Python Power Bi Data Modeling Tableau

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