• Lead design projects across Tidepool’s Data Management Platform as well as new products in development. • Translate broad need statements from patients and healthcare professionals into meaningful designs, balancing usability with safety regulations and technical considerations. • Communicate your data-informed vision and design rationale, that has users at the heart of it, to stakeholders and team members in a compelling way. • Partner closely with product, engineering and quality assurance engineers to drive design decisions and advocate for our users. • Solve a variety of product design challenges across iOS, Android, web and mobile web. • Build and manage a comprehensive design system and component library to maintain consistency. • Plan, design and lead a wide range of user research, including exploratory interviews and task-based usability testing. • Break down experiences thoughtfully for teams to ship value incrementally (from Minimum Valuable Experience to Desired Experience), making intentional trade-offs that are grounded in a clear perspective. • Develop deep understanding and empathy for people living with diabetes and healthcare providers and leverage that feedback to push for product refinement/improvement.

• Construct steadfast integrations for various traditional business systems • Contribute significantly to our groundbreaking digital transformation initiative • Spearhead integration with third-party partners • Adopt a user-centric outlook to tackle challenges

• Own and monitor the end-to-end Snowflake to Power BI reporting pipeline. • Investigate and resolve pipeline failures promptly to maintain reliable reporting. • Troubleshoot and correct broken metrics by validating SQL logic and clarifying definitions with business stakeholders. • Work with internal CRM and data owners to diagnose and resolve upstream data issues. • Maintain and update SQL metric definitions in response to business logic changes. • Ensure Power BI DAX calculations are consistent with Snowflake outputs and configuration tables. • Collaborate with external consultants and internal business stakeholders to address edge cases, drive quality assurance, and implement improvements. • Document all changes thoroughly and communicate potential risks and impacts clearly.

• Design, implement, and maintain data pipelines (event-based and batch) using modern orchestration tools (e.g., Dagster). • Develop and manage data transformation workflows (rETL) to integrate data with third-party systems such as CRM, CDP, and marketing platforms. • Own and evolve the data architecture, covering ingestion, transformation, storage, and data serving layers. • Design scalable data models and ensure data quality, governance, and performance optimization. • Build data services, APIs, and internal data products to enable real-time and programmatic data access. • Integrate machine learning models and AI capabilities into data pipelines and workflows. • Ensure reliability through monitoring, observability, and continuous improvement of data processes. • Collaborate with product, engineering, and business teams to define and deliver data-driven solutions.