• Design, implementation, and deployment of enterprise-scale data management, data analytics, and AI capabilities. • Partner with enterprise architecture & engineering to define data and AI roadmaps that align with business objectives and operating models. • Provide technical leadership and mentorship to technical teams while establishing standards. • Lead end-to-end technical delivery for multiple initiatives—from discovery and design through build, test, release, and operations. • Define technical work breakdown structures, estimates, and resource plans.

• Responding to assessment bookings in a timely manner • Carrying out the EPA via video call • Awarding marks using a defined assessment plan and marking criteria • Making sound judgements about the standard of the apprentice’s knowledge and competence • Providing robust feedback to the apprentice and arriving at an overall grade • Attending standardisation meetings twice annually • Working as part of the 1st for EPA assessment team • Maintaining your own professional development

• Lead high-impact analytics initiatives with internal teams to inform data-driven initiatives. • Execute in-depth analysis of user behavior to identify growth opportunities and inform product optimization strategies. • Influence direction through actionable insights and recommendations to key stakeholders based on statistical analysis and data interpretation. • Develop and maintain advanced dashboards, reports, and visualizations to track and communicate critical key performance indicators (KPIs) and performance metrics. • Work closely with engineering teams to ensure accurate data collection and instrumentation, providing guidance on tracking implementation and data integrity. • Collaborate with the data engineering and data science teams to refine and enhance data infrastructure and architecture to support advanced analytics and reporting capabilities. • Become an expert on BetterHelp data, product experience, and regulatory requirements • Build a unified understanding of how our data, customer experiences, and goals align

• Work closely with teams across the organization (Product Management, Care Delivery, Operations, Customer Success) to organize, prioritize, and execute a roadmap designed to provide quick and scalable analytical support. • Develop, build, and maintain reports and dashboards that contain actionable metrics to monitor growth, engagement, and clinical outcomes at Cadence. • Build analyses to uncover metrics that demonstrate Cadence's value to patients and customers. • Work with operations leaders to establish models for revenue and staffing. • Explore patient vitals, electronic health records, and patient and clinician-generated data to discover insights that benefit clinical care and health outcomes in patients, and influence the product strategy. • Collaborate with internal stakeholders to identify data needs and inform what data should be collected and how.