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