Data Intelligence Lead
Core Responsibilities: Business Problem Translation & Value CreationPartner directly with business leaders to understand strategic priorities, operational challenges, and growth opportunitiesTranslate ambiguous business problems into practical data and analytics solutionsIdentify and prioritize high-value use cases that drive measurable business outcomesEnsure all analytics initiatives are aligned with business objectives and KPIsQuantify expected and realized business value from analytics investmentsServe as a trusted advisor on how data can improve business performanceAnalytics Solution DeliveryLead the development and delivery of analytics solutions that improve business decision-makingDesign and develop dashboards, KPI frameworks, forecasting solutions, analytical models, and decision-support toolsRapidly deliver MVP solutions to validate business valueIterate solutions based on stakeholder feedback and evolving business needsBalance speed, practicality, and business impact over technical perfectionData-Driven Decision EnablementDevelop actionable insights that drive decisions and business outcomesIdentify trends, risks, opportunities, and performance drivers within enterprise dataBuild analytical solutions that support planning, forecasting, operational optimization, and strategic decision-makingEnsure analytical outputs are understandable, actionable, and aligned to business objectivesAdoption, Change Management & Value RealizationDrive adoption of analytics solutions across business functionsEnsure analytics become embedded within business processes and workflowsDevelop stakeholder engagement, training, and enablement plansMonitor utilization, adoption, and business impact of delivered solutionsIdentify and remove barriers preventing business adoptionChampion a culture of data-driven decision-makingData Storytelling & Executive CommunicationTranslate analytical findings into compelling business narrativesPresent insights and recommendations to leadership teams and executive stakeholdersCommunicate business impact in language that drives actionDevelop executive-ready dashboards, scorecards, and performance reviewsCross-Functional LeadershipCollaborate closely with:Business leadersData Product ArchitectsData EngineersAnalytics teamsIT and enterprise stakeholdersAlign analytics initiatives with business prioritiesHelp establish a culture of accountability, speed, pragmatism, and measurable outcomesMentor team members on business-facing analytics and stakeholder engagementQualifications: 5–10+ years of experience in analytics, business intelligence, consulting, analytics engineering, or data-driven business rolesProven experience translating business problems into analytics solutions that delivered measurable valueStrong business acumen and ability to connect analytics to operational and financial outcomesAdvanced SQL skillsStrong Python and/or PySpark experienceExperience with Power BI and data visualizationExperience working with Azure and Databricks analytics environmentsDemonstrated experience delivering MVPs and iterative solutionsStrong stakeholder management and change management capabilitiesExceptional communication, facilitation, and presentation skillsExperience in manufacturing, supply chain, ERP, finance, distribution, or operational environmentsExperience leveraging Azure Data Factory, Databricks, and Azure Data LakeFamiliarity with Medallion Architecture (Bronze / Silver / Gold)Experience leading analytics adoption initiativesExperience measuring ROI and business value realizationExposure to forecasting, predictive analytics, optimization, and advanced analyticsEducation Requirements:• Degree in business Analytics or Data Science preferred