Job Description
Define and lead the Planning Analytics vision, strategy, and roadmap across Small, Medium & Corporate (SME&C). Lead analytics for Fast Start, segmentation, quota setting, territory and coverage planning, resource allocation, investment optimization, and capacity planning. Translate strategic priorities into measurable planning frameworks and recommendations that improve business outcomes. Lead and develop an organization of analytics specialists, business analysts, data professionals, and people managers. Foster an inclusive culture of accountability, innovation, collaboration, and continuous learning. Build capabilities across analytics, artificial intelligence (AI), business storytelling, planning methodologies, and modern data technologies. Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 6+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 8+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience. Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 12+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Finance,Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 15+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience. 5+ years people management experience. Build and lead a Rapid Analytics capability that delivers timely insights on emerging opportunities, risks, and executive priorities. Apply advanced analytics, experimentation, scenario modeling, and hypothesis-driven analysis to complex business challenges. Establish trusted metrics, business definitions, governance, and data foundations that support self-service analytics, executive reporting, and AI readiness. Influence strategic decisions through data-driven recommendations and executive storytelling. Align stakeholders around opportunities, risks, and long-term business outcomes.