Requirements
Must-Haves8–11 years of relevant experience in customer segmentation, CVM, or customer analyticsProven track record establishing segmentation strategy/frameworks from the ground upStrong hands-on experience with customer analytics, advanced data analysis, and behavioural profilingSolid BI/reporting skills (tool-specific requirement to be confirmed with hiring manager — Power BI/Tableau/SQL etc.)Demonstrated impact on acquisition, engagement, retention, and/or pricing through segmentation-driven decisionsStrong stakeholder management and ability to translate analytics into business propositionsNice-to-HavesExperience in [industry — telecom/banking/retail, to confirm] CVM functionFamiliarity with predictive/propensity modellingExperience leading a segmentation/analytics teamWhy Join UsOpportunity to shape segmentation strategy at a senior, high-visibility levelWork with a forward-deployed, cross-functional team on high-impact business problemsCompetitive compensation aligned with market benchmarksDisclaimer This job description is intended to convey essential information about the role and is not an exhaustive list of responsibilities, skills, or qualifications.
Description
About CodeNinja CodeNinja is a tech and AI consulting firm delivering embedded and forward-deployed engineering and analytics teams for clients across KSA, Pakistan, Egypt, and Latin America. We partner with organizations to build high-performing teams that drive measurable business impact.About the Role We're hiring a Senior CVM / Segmentation Head to lead customer segmentation strategy and analytics for [Client Name]. This role owns the design of segmentation frameworks, translates customer insights into targeted propositions, and drives measurable improvements across acquisition, engagement, retention, and pricing decisions.Key ResponsibilitiesDesign and own end-to-end customer segmentation frameworks aligned to business objectivesLead customer analytics initiatives — behavioural profiling, value-based segmentation, lifecycle analysisTranslate segmentation insights into targeted, actionable customer propositionsPartner with marketing, product, and pricing teams to improve acquisition, engagement, retention, and pricing strategiesOwn advanced data analysis and BI/reporting to track segment performance and CVM effectivenessPresent segmentation strategy and insights to senior stakeholders, influencing commercial decisionsContinuously refine segmentation models based on performance data and market shifts