Data Intelligence Lead

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 Education Requirements: • Degree in business Analytics or Data Science preferred