Lead, Sales Operations Strategist

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.