
Job Overview
Location
Remote - United States
Job Type
Full-time
Category
Operations
Date Posted
April 21, 2026
Full Job Description
đź“‹ Description
- • As a Business Systems Manager for Life Sciences at Datavant, you will own and evolve the systems that power how the Life Sciences vertical operates, serving as the embedded systems owner responsible for platform architecture, workflow design, integrations, and operational reporting.
- • Day to day, you will serve as the primary owner and architect of a platform such as Monday.com for the Life Sciences business, leading migration and consolidation of legacy tools, designing scalable system architecture, building dashboards and reporting with Operations and Finance, translating business processes into intuitive workflows, designing and overseeing integrations with core systems, establishing structured intake and prioritization processes for system enhancements, and enforcing data integrity, access controls, and enterprise security standards.
- • Datavant is the data collaboration platform trusted for healthcare, guided by a mission to make the world’s health data secure, accessible and actionable, providing critical data solutions for providers, health plans, researchers, and life sciences companies, and building the future of how data is connected and used to improve health through a driven, highly collaborative team passionate about transformative change in healthcare.
- • In this role, you will learn to design and manage enterprise-scale workflow platforms, build operational reporting that supports executive decision-making, lead cross-functional system migrations and integrations, and develop pragmatic, operator-first solutions that improve efficiency and visibility across complex business operations in a high-growth health technology company.
Skills & Technologies
About Datavant, Inc.
Datavant operates a secure health-data connectivity platform enabling hospitals, payers, life-science firms, and analytics companies to link de-identified patient records across disparate systems while ensuring HIPAA compliance. Its technology uses tokenization and privacy-preserving record linkage to support real-world evidence studies, population health analytics, and clinical trials without exposing personal information.
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