• Analytics Platform Management: Oversee the administration, maintenance, and continuous improvement of dataflows, dashboards, and reporting platforms across the organization’s entities to meet business needs and requirements. • Strategic Alignment: Ensure the analytics and AI roadmap aligns with Edged strategic objectives and goals. Support continuous iteration based on business requirements and translate strategic priorities into a scalable analytics and AI adoption plan. • Reporting & Data Quality: Design and standardize reporting across multiple companies, implement data checks, controls, validation, and reconciliation across systems, and establish performance metrics and benchmarks for KPIs and efficiency improvements. • Cross-Functional Collaboration: Partner closely with Finance for accurate, auditable reporting, coordinate with IT on architecture, access, and security, and translate analytics into clear insights for business operators across the portfolio. • Stakeholder Engagement: Educate and gain buy-in from key management stakeholders regarding analytics standards and data governance. Build relationships and collaborate with key stakeholders and teams to ensure delivery of commitments. • Documentation: Prepare and present analytics and reporting documentation for stakeholders, including user guides, SOPs, data dictionaries, and training content. • AI & Automation: Define and execute a clear path for the development, integration, and deployment of AI-enabled analytics, automation of recurring reports, and intelligent data pipelines, applying AI/ML concepts to forecasting, anomaly detection, and insight generation. • Technology Trends: Stay informed about technology trends influencing analytics and AI, including both innovative and disruptive developments. Serve as an internal thought leader on responsible AI, data privacy, and modern analytics practices. • Education and Communication: Educate internal teams and external partners on key analytics platforms and AI strategy, ensuring alignment with business requirements. Act as a trusted advisor guiding teams through the data and AI transformation journey. • Team Leadership & Growth: Set analytics standards and best practices, own the analytics roadmap including AI adoption, and progress from individual contributor to team lead and people manager — managing workload, priorities, and team development as the function scales.

• Develop dashboards, user interfaces, and reports in compliance with Section 508 accessibility standards. • Design, test, and deploy interactive reports using Tableau, Power BI, R, Python, and other approved tools. • Create custom calculations and apply filters for dynamic reporting. • Design and maintain SharePoint custom solutions supporting communication and tracking. • Assess and address data management issues and provide recommendations. • Maintain quality control and compliance with dissemination, visualization, and security governance. • Develop visual analytics for survey data and registration systems using approved tools. • Gather, preprocess, and normalize data for visualization. • Choose visualization types appropriate to data and objectives. • Implement visualizations with programming languages or visualization libraries (R, D3, Python). • Add interactive features to visualizations where required. • Test and validate visualizations to ensure accuracy and usability. • Optimize performance when working with large datasets. • Participate in planning and stage-gate reviews under current policies and lifecycle standards. • Provide feedback on data reuse and perform cleansing to remove duplicates. • Give presentations to stakeholders on development activities. • Deliver program documentation with purpose, programming steps, outputs, and accuracy assessments. • Submit program code to the Technical Monitor with internal comments and documentation.

• Partner with the Specialty Care Operations team to define, refine, and evolve key metrics and KPIs as the program scales across new conditions and services. • Build and maintain dashboards and data visualizations in business intelligence tools (ex: Looker, Hex, Omni) that empower non-technical users to monitor member engagement, clinical outcomes, and operational efficiency. • Conduct exploratory and ad-hoc analyses to answer emerging business questions, such as evaluating early engagement in new services or understanding potential impacts of platform changes. • Identify trends and gaps in program performance and recommend opportunities for improvement based on data-driven insights. • Support data integrity efforts by contributing to dbt models and ensuring consistent, scalable data structures across Specialty Care programs. • Partner with data, product, and engineering teams to ensure the Specialty Care team has access to the necessary data sources for comprehensive reporting. • Serve as a data advisor and thought partner for Specialty Care leadership, proactively shaping how success is measured and informing future strategic initiatives. • Partner with the data science team to dive deeper into major trends, helping us understand what is driving those changes. • Ensure downstream teams can access and utilize data effectively by providing training, documentation and support for the dashboards and data products you deliver. • Ensure accurate and consistent reporting of metrics, collaborating with cross-functional stakeholders to ensure data alignment across the business. • Work with our analytics engineering team to maintain the core data models in dbt that support these metrics and ensure data consistency.

• Design and execute advanced experiments that prove advertising value and optimize campaigns, delivering actionable insights that drive business decisions • Analyze experiment data to produce nuanced recommendations for improving ad performance and measurement outcomes • Tailor measurement approaches to meet stakeholder needs, by developing innovative metrics and data visualizations that reveal deeper business insights • Proactively partner with stakeholders to shape media measurement strategies and address complex challenges, navigating through ambiguous measurement questions • Present experimental findings and other data-driven insights with an executive presence to senior clients, educating them on methodologies and ensuring alignment on actionable insights • Lead discussions, trainings, and Q&A sessions as a thought leader on ad measurement and experimentation to inspire confidence in measurement outcomes with clients and internal teams • Identify strategic opportunities, including client upsell potential or internal operational improvement needs, informed by data-driven insights • Develop customized analytical solutions, including code, dashboards, and self-service tools with data-driven enhancements either through client works and/or project initiatives