Manager of Artificial Intelligence

About the RoleTo lead the delivery, growth, and governance of Artificial Intelligence, Advanced Analytics, Machine Learning, and Generative AI solutions across Non-Telecom and Enterprise Business domains. Drive data-driven transformation initiatives, identify new business opportunities, manage a team of data scientists and AI specialists, and ensure successful implementation of analytics products that deliver measurable business impact.ResponsibilitiesStrategy & Business PartnershipDefine and execute the AI & Analytics roadmap for Non-Telecom and Enterprise Business Units.Partner with business stakeholders to identify opportunities for AI, ML, GenAI, optimization, and advanced analytics solutions.Translate business challenges into scalable analytical and AI use cases.Build and maintain strong relationships with senior business leaders and external partners.Drive adoption of data-driven decision-making across organizations.AI & Analytics DeliveryLead end-to-end delivery of AI and analytics projects from ideation through deployment and value realization.Manage development of:Predictive Analytics ModelsCustomer Intelligence SolutionsRecommendation EnginesForecasting ModelsNLP and Generative AI ApplicationsComputer Vision SolutionsOptimization ModelsEnsure deployment of production-grade AI solutions with measurable business outcomes.Team LeadershipLead, coach, and develop a high-performing team of:Data ScientistsAI EngineersMachine Learning EngineersAnalytics SpecialistsDefine team objectives, performance metrics, and development plans.Foster innovation, collaboration, and continuous learning.Support recruitment and retention of top AI and analytics talent.Stakeholder ManagementPresent insights, business cases, and AI strategies to executive leadership.Manage communication with internal and external stakeholders.Lead workshops and executive briefings to showcase AI value realization.Influence strategic business decisions through analytics-driven recommendations.QualificationsEducationBachelor's degree in computer science, Data Science, Engineering, Statistics, Mathematics, Information Systems, or related field.Master's degree in data science, AI, Analytics, or Business Administration is preferred.Experience6-8+ years of experience in Analytics, Data Science, Artificial Intelligence, or Digital Transformation.Minimum 3-5 years in a leadership or people management role.Proven experience delivering enterprise-scale AI and analytics projects.Experience working with Enterprise Business, Financial Services, Retail, Government, Healthcare, Smart Cities, or other Non-Telecom sectors are highly preferred..Desirable QualificationsAdvanced Analytics & AIMachine LearningDeep LearningGenerative AI (LLMs)NLPComputer VisionForecasting & OptimizationStatistical ModelingData & PlatformsPythonSQLSparkDatabricksKubernetesMLOps PlatformsLeadership CompetenciesStrategic ThinkingBusiness AcumenStakeholder ManagementPeople DevelopmentInfluencing & NegotiationDecision MakingCustomer OrientationResults FocusChange Management