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Key Responsibilities Own the BIC Data Analytics roadmap aligned to CEO Office and corporate strategic priorities, defining the division’s long-term direction and analytical methodology standards. Establish and govern the analytical framework, tool ecosystem, and best-practice standards across the division to ensure consistent, high-quality output. Translate business objectives into scalable analytical initiatives, identifying opportunities to drive operational efficiency and competitive advantage. Lead, mentor, and develop a team of analysts and managers across multiple workstreams, fostering a culture of analytical excellence and continuous improvement. Lead and govern cross-functional analytics collaboration, arbitrating prioritization across business units competing for BIC resources and ensuring alignment on enterprise objectives. Present insights and strategic recommendations to senior leadership through high-quality executive reports and presentations. Utilize deep knowledge of market trends, financial data, and process standards to generate actionable insights and strategic recommendations that drive business decisions and operational improvements. Develop and validate advanced analysis models that support business planning, scenario analysis, and performance optimization across divisions. Champion data quality standards and oversight across the division’s analytical outputs. Develop and execute mitigation plans for critical issues to ensure successful delivery of strategic initiatives. Oversee development of dashboards and training programs to ensure effective adoption of insights and analytical tools across the organization. Requirements Bachelor’s degree in Industrial Engineering, Supply Chain, Finance, IT, or related field (required) Master’s degree (MBA, Data Science, or Engineering) preferred 5–8+ years of working experience in Data Analytics, Business Intelligence, or Process Improvement 1+ years in a people management role, with demonstrated experience leading teams or managing managers Proven track record of cross-functional collaboration and enterprise-wide analytical project delivery Proficient in SQL (preferably Databricks SQL), Power BI, Python, and Tableau, with proven experience handling large-scale datasets Knowledge of statistical techniques for hypothesis testing and prediction (Correlation, Regression, etc.) Experience designing and governing analytical frameworks and data governance standards Excellent presentation, communication, and influencing skills with demonstrated ability to engage senior executive audiences