About this role
Truveta is the world's first health provider-led data platform with a vision of Saving Lives with Data. We empower researchers, clinicians, and healthcare organizations through high-quality clinical data and AI-driven insights.
We are seeking an experienced clinical professional to manage a team of Clinical Terminologists, Data Annotators, and Clinical Abstractors responsible for clinical terminology mapping, data annotation, and data quality. The ideal candidate is a self-starter who excels at developing high-performing teams, driving operational excellence, and delivering projects with exceptional quality and timeliness.
Work Location: Hyderabad, India
This Opportunity
Join the founding team of the Truveta India Development Center (IDC) and play a pivotal role in shaping its future. As one of the initial members, you'll help build and scale a high-impact organization while contributing to products and platforms that advance healthcare through data and AI. This is a unique opportunity to influence both the technical direction and the culture of a growing global engineering hub.
Key Responsibilities
Lead, mentor, and develop a team of Clinical Terminologists, Data Annotators, and/or Clinical Abstractors by providing coaching, training, and performance guidance. Oversee terminology mapping and clinical data normalization using standards such as SNOMED CT, RxNorm, and LOINC, ensuring exceptional quality and consistency. Drive project execution by managing priorities, monitoring team performance, and ensuring deliverables are completed on time with minimal oversight. Collaborate cross-functionally with Engineering, Product, Program Management, and AI/ML teams to improve clinical data pipelines and annotation processes. Establish and continuously improve quality standards, workflows, documentation, and operational processes to support scalable clinical data operations.
Key Qualifications
MBBS degree required. 2–5 years of people leadership experience leading Clinical Terminologists, Medical Coders, Clinical Data Annotators, Clinical Abstractors, or similar healthcare data teams. Strong working knowledge of SNOMED CT, RxNorm, LOINC, Electronic Medical Records (EMRs), and clinical documentation. Proven ability to independently lead projects, mentor teams, solve problems proactively, and consistently deliver high-quality outcomes on schedule. Excellent communication, stakeholder management, organizational, and project management skills in a fast-paced, cross-functional environment.
Preferred Qualifications
Experience leading clinical terminology mapping or AI/ML data annotation initiatives. Experience developing annotation guidelines, quality frameworks, and training programs. Professional certification in medical coding or health information management (CPC, CCS, RHIT, RHIA, CCA, or equivalent) is a plus.