• Provide technical leadership across the overall Analytics function • Engage in client interactions to explain complex data analysis • Support financial crime risk management through ad hoc analytics • Work with large and complex datasets to develop analytics, reporting, and AI-driven solutions • Collaborate with business owners to identify opportunities • Visualize insights from data to communicate results

• Collecting data and using wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning. • Responsible for financial crime risk model development and monitoring. • Works autonomously within a specialized business management function and may provide work direction to others. • Provides seasoned specialized knowledge, advice and/or guidance to various stakeholders and team members. • Undertakes and completes a variety of complex projects and initiatives requiring specialist knowledge and/or the integration of cross functional processes within own area of expertise. • Oversees and/or independently performs tasks from end-to-end.

• Lead the development and implementation of predictive models to forecast product orders across various geographies. • Collaborate with Demand Planners to discuss and understand the impact of IBP deviations. • Communicate Analytical Gains and articulate the benefits of statistical models to business functions. • Analyze large datasets to identify trends, patterns, and insights that inform business decisions.

• Lead the day-to-day operation of enterprise data governance processes, controls, standards, and supporting documentation. • Manage the team responsible for governance administration, metadata coordination, quality evidence, certification records, access documentation, exceptions, and asset lifecycle tracking. • Embed governance requirements into delivery workflows so controls are completed as part of normal engineering and analytics work. • Monitor compliance with required metadata, lineage, quality, access, certification, release, retention, and applicable SOX controls. • Partners with Data Engineering, Analytics Engineering, Product Management, Experience Engineering, Information Security, Internal Audit, and business stakeholders to resolve governance issues and clarify responsibilities. • Maintain governance reporting, dashboards, control evidence, issue logs, exception records, and escalation processes. • Coordinate governance reviews for new and changed enterprise data assets without assuming ownership of the underlying business logic or technical building. • Identify control gaps, recurring issues, and process inefficiencies, and lead corrective actions and continuous improvement. • Support audit, compliance, and regulatory requests by ensuring governance evidence is complete, traceable, and readily available. • Establish team priorities, assign work, manage performance, develop staff capabilities, and ensure consistent service across the enterprise.