Data Manager

Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes. We built a leading performance-driven network of 100+ sites across the US, Europe, India, and Australia, conducting research directly in the communities where care is delivered across gastrointestinal, hepatology, obesity, and cardiology. By combining deep clinical trial expertise with cutting-edge AI, we connect sponsors' scientific ambitions with high-performing research teams that expedite and expand access to novel therapeutics for patients in need. Today, Iterative Health is headquartered in Cambridge, Massachusetts, and New York City with 250+ employees world-wide. The Data Manager at Iterative Health will play a critical role in building and managing the data and dashboards that supports how we operate, make decisions, and scale the business. This role will ensure our data is accurate, accessible, secure, well-governed, and effectively managed across our growing technology ecosystem. Reporting to the Director of IT and working directly with Finance and other G&A leaders, the Data Manager will own and drive data management, governance, and quality practices across the organization. This includes establishing scalable standards and processes, improving data integrity across systems, supporting data integrations and migrations, and creating greater visibility into how data is captured, managed, and used across the business. This is an opportunity to build foundational data capabilities from the ground up, bring greater consistency and structure to our data environment, and help ensure Iterative Health has trusted data to support both day-to-day operations and long-term growth. Where You'll Drive ImpactBuild, maintain, and improve dashboards, reports, and analytics tools in Amazon QuickSight, Metabase, PowerBI and other BI platforms using data stored across our AWS environment. Partner with business teams to understand reporting and analytics needs, translate those needs into clear data requirements, and develop dashboards that make important business metrics easy to understand and act on. Write and optimize SQL queries to analyze data, create reporting datasets, troubleshoot issues, and support scalable dashboarding and analytics. Develop a strong understanding of our underlying data models and business processes to ensure dashboards and metrics accurately reflect how the organization operates. Define and maintain consistent business metrics, calculations, data definitions, and reporting logic across dashboards and teams. Validate dashboard outputs against source systems, identify data quality issues, and work with engineering, IT, and system owners to resolve discrepancies. Design dashboards that are intuitive, performant, and useful to both operational teams and leadership. Identify opportunities to automate recurring reporting and replace manual Excel- or spreadsheet-based processes with scalable dashboards and data products. Partner with data and engineering teams to improve reporting datasets, data models, and pipelines as new analytics needs emerge. Help establish standards and documentation for dashboards, metrics, data sources, and reporting logic so that analytics remain accurate and maintainable as Iterative Health grows. Support ad hoc analysis and other data and reporting priorities across the organization as needed. What You'll Bring 4+ years of experience in business intelligence, analytics, data analysis, reporting, or a related field. Strong communication skills and business sense. Able to communicate technical concepts to non-technical audiences with ease. Strong SQL skills and experience querying relational databases and working with large datasets. Experience building production dashboards and reports in BI tools such as Amazon QuickSight, Metabase, Tableau, Power BI, Looker, or similar platforms. Experience translating business questions into metrics, analyses, datasets, and dashboards. Strong understanding of data visualization and dashboard design, including how to present complex information clearly and effectively. Ability to understand data models, relationships between datasets, and how data flows from source systems into reporting environments. Strong analytical and problem-solving skills, including the ability to investigate unexpected results and identify the root cause of data discrepancies. Strong attention to detail and a high level of ownership over the accuracy and reliability of reporting. Ability to communicate technical and analytical concepts clearly to non-technical stakeholders. Experience working cross-functionally with business, technology, and data teams. Ability to manage multiple reporting and analytics priorities in a fast-moving environment. Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, or a related field preferred.

Preferred