• Leading the validation of predictive and machine-learning models for specific business needs using statistics and advanced mathematical techniques • Guiding a team and/or project through providing solutions to business problems leveraging statistics and quantitative tools/techniques • Assessing and validating models, methodologies, and analytical frameworks • Communicating technical theories and models to a non-technical audience • Evaluating the appropriateness of analytical methods used and assessing their justification

• Author, maintain, and version taxonomies, business term definitions, and classification hierarchies in the governance platform. • Translate approved governance decisions into structured, testable data rules and apply rule IDs consistently across taxonomies. • Run routine rule-library analysis to detect duplicates, conflicts, and coverage gaps, and prepare findings for governance review. • Maintain metadata, documentation, and change history so definitions and rules remain traceable and auditable. • Support intake and triage of new rule and definition requests from Data Operations and business stakeholders. • Prepare reference data and golden-record candidates for governance certification, flagging anomalies and exceptions. • Produce clear documentation and quick-reference guides that help stewards and analysts apply standards independently. • Assist in preparing governance reporting, dashboards, and stakeholder updates.

• Build and own the reporting layer for Support • Partner with Support leadership for data-driven decisions • Maintain the multi-signal model behind bug and issue prioritization • Design dashboards for internal and customer-facing audiences • Own data quality, governance, and reliability for Support data products • Surface Voice of Customer trends to Product, Engineering, and GTM

• Develop, maintain, and optimize advanced reports, dashboards, and data visualizations to meet internal and client requirements. • Conduct in-depth data work to uncover trends, patterns, and insights, supporting strategic decision-making. • Manage and execute data projects, ensuring accuracy, reliability, and clarity in data outputs. • Work collaboratively with internal stakeholders and client teams to understand needs and translate them into actionable solutions. • Perform data audits, validation, and quality control tasks to ensure reporting accuracy and consistency. • Provide thoughtful feedback on tools and recommend improvements to enhance usability and user experience. • Communicate insights, project statuses, and recommendations clearly and professionally to international clients and teams.