We use cookies to run the site and count visits. "Got it" also allows session recording.
IIterative Health
Cambridge, United States2 months ago
125,000 – 160,000 USD
per year
Grade
Senior
Experience
from 5 years
Work format
Hybrid
English level
B2, upper-intermediate
An email or a Telegram message to the recruiter
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.
Compensation (New York pay range): 125,000 – 160,000 USD per year
We believe great teams do their best work when they feel supported — professionally and personally.
$125,000 — $160,000 USD
At Iterative Health, we’re actively working towards creating an environment that is representative of the diversity of patients our technology serves. We are focused on building an equitable and inclusive culture, and by extension, hiring process. If you require any accommodations to make the application process or interviewing experience more accessible to you, please contact .
Compensation (New York pay range): 125,000 – 160,000 USD per year
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.
We believe great teams do their best work when they feel supported — professionally and personally.
$125,000 — $160,000 USD
At Iterative Health, we’re actively working towards creating an environment that is representative of the diversity of patients our technology serves. We are focused on building an equitable and inclusive culture, and by extension, hiring process. If you require any accommodations to make the application process or interviewing experience more accessible to you, please contact .
We compare skills, grade, work format and salary
Most often 117,000 to 144,000
Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, or a related field preferred
Hands-on experience with Amazon QuickSight and/or Metabase
Experience working with data and databases hosted in AWS
Familiarity with AWS data services such as RDS, Redshift, Athena, S3, or related technologies
Experience creating reporting-ready datasets or semantic layers for use across multiple dashboards
Experience with data modeling, ETL/ELT pipelines, or modern data warehouses
Experience working with healthcare, life sciences, clinical research, or other regulated data
Experience building executive-level and operational dashboards used to manage business performance
Experience automating reporting processes or migrating reporting from Excel and other manual workflows into BI platforms
Familiarity with Python or other scripting languages for data analysis and automation
Experience in healthcare, clinical research, health technology, or another highly regulated environment
Experience with HIPAA, SOC 2, or other data privacy and security frameworks
Experience with enterprise applications such as HRIS, ERP, CRM, ATS, or clinical systems
Experience with SQL, data visualization tools, or modern data platforms
Experience supporting data migrations, system implementations, or M&A integrations
Experience establishing data governance programs in a growing organization