Data Intelligence Lead

Description Core Responsibilities: Business Problem Translation & Value Creation Partner directly with business leaders to understand strategic priorities, operational challenges, and growth opportunities Translate ambiguous business problems into practical data and analytics solutions Identify and prioritize high-value use cases that drive measurable business outcomes Ensure all analytics initiatives are aligned with business objectives and KPIs Quantify expected and realized business value from analytics investments Serve as a trusted advisor on how data can improve business performance Analytics Solution Delivery Lead the development and delivery of analytics solutions that improve business decision-making Design and develop dashboards, KPI frameworks, forecasting solutions, analytical models, and decision-support tools Rapidly deliver MVP solutions to validate business value Iterate solutions based on stakeholder feedback and evolving business needs Balance speed, practicality, and business impact over technical perfection Data-Driven Decision Enablement Develop actionable insights that drive decisions and business outcomes Identify trends, risks, opportunities, and performance drivers within enterprise data Build analytical solutions that support planning, forecasting, operational optimization, and strategic decision-making Ensure analytical outputs are understandable, actionable, and aligned to business objectives Adoption, Change Management & Value Realization Drive adoption of analytics solutions across business functions Ensure analytics become embedded within business processes and workflows Develop stakeholder engagement, training, and enablement plans Monitor utilization, adoption, and business impact of delivered solutions Identify and remove barriers preventing business adoption Champion a culture of data-driven decision-making Data Storytelling & Executive Communication Translate analytical findings into compelling business narratives Present insights and recommendations to leadership teams and executive stakeholders Communicate business impact in language that drives action Develop executive-ready dashboards, scorecards, and performance reviews Cross-Functional Leadership Collaborate closely with: Business leaders Data Product Architects Data Engineers Analytics teams IT and enterprise stakeholders Align analytics initiatives with business priorities Help establish a culture of accountability, speed, pragmatism, and measurable outcomes Mentor team members on business-facing analytics and stakeholder engagement Qualifications: 5–10+ years of experience in analytics, business intelligence, consulting, analytics engineering, or data-driven business roles Proven experience translating business problems into analytics solutions that delivered measurable value Strong business acumen and ability to connect analytics to operational and financial outcomes Advanced SQL skills Strong Python and/or PySpark experience Experience with Power BI and data visualization Experience working with Azure and Databricks analytics environments Demonstrated experience delivering MVPs and iterative solutions Strong stakeholder management and change management capabilities Exceptional communication, facilitation, and presentation skills Experience in manufacturing, supply chain, ERP, finance, distribution, or operational environments Experience leveraging Azure Data Factory, Databricks, and Azure Data Lake Familiarity with Medallion Architecture (Bronze / Silver / Gold) Experience leading analytics adoption initiatives Experience measuring ROI and business value realization Exposure to forecasting, predictive analytics, optimization, and advanced analytics