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Mid competition: mid-tier employer, senior role, and broad sales-analytics skills attract experienced candidates.
High because role requires enterprise SaaS sales operations experience, CRM expertise, and post-MBA seniority.
High due to explicit 8+ post-MBA requirement, leadership, and mandatory AI/BI and Salesforce skillset.
Own and manage sales operations for the India region, including forecast reporting, pipeline management, variance analysis, and driving sales process improvements to achieve quarterly targets.
Lead and develop the India Data, Analytics, Reporting team, focusing on analytical rigor, AI and analytics capability-building, and team accountability for outcomes including hiring and retention.
Serve as the internal subject matter expert for AI-driven business intelligence; manage reporting/dashboard roadmap, apply machine learning/AI to improve forecasting and pipeline analysis, ensure data accuracy, and drive adoption of BI tools.
MBA from a Tier 1 or Tier 2 business school.
8+ years post-MBA experience in sales, revenue, or business operations within a high-growth technology organization; enterprise SaaS experience is a distinct advantage.
Direct people management experience leading teams of analysts or consultants, not just project leadership.
Advanced Excel and BI platform skills; working fluency in SQL; Salesforce Administrator or Business Analyst certification preferred.
Experienced in managing sales operations and business intelligence functions in global or regional technology sales organizations, especially enterprise SaaS.
Proven leader with hands-on experience deploying AI, machine learning, or advanced analytics capabilities in production to enhance business outcomes.
Strong business and financial acumen with ability to translate complex data insights for both technical and non-technical senior stakeholders.