Key Skills
Job Description
Job Requirements Role Summary: Seeking an experienced Technical Business Analyst in Life Science Advanced Therapy to drive onboarding of new Advanced Therapy products and quality data into enterprise CAR-T/Advanced Therapy Data Products platform. In this role, the BA will act as the key liaison between viral vector manufacturing sites, process development teams, and data engineering groups. Lead the effort to analyze source systems, define data ingestion pipelines, harmonize data models, and integrate operational and analytical data into downstream CAR-T/Advanced Therapy digital products. Key Responsibilities Partner with manufacturing, engineering, and IT teams to understand the data architecture in MES, eLIMS, and ERP platforms. Perform data profiling and validation using SQL or data exploration tools to ensure accuracy, completeness, and integrity across integrated data models. Map business source system data to target CDL schemas. Collaborate with Data Product Managers and Architects to expand existing CAR-T data products Translate business goals into actionable D&A user stories, and acceptance criteria Analyse the raw data and define KPI metrics and business rules for reporting and downstream analytics products. Maintain, prioritize, and refine the product backlog for MES-to-CDL ingestion and D&A product builds. Partner with Data Engineers, Solution Architects, and QA teams throughout the sprint lifecycle to ensure clear requirements and validate deliverables. Facilitate User Acceptance Testing (UAT), define test scenarios, and secure business sign-off for release. Ensure data ingestion patterns adhere to enterprise data governance, security, and quality standards. Create standard DOMDs, functional specifications, data dictionaries, process workflows, and user guides. Work Experience 5-7Years
Core Responsibilities
Lead onboarding of Advanced Therapy products and quality data into enterprise CAR-T data products by analyzing source systems, defining ingestion pipelines, mapping data to target schemas, and harmonizing data models. Coordinate with business, engineering, architecture, and QA teams to define requirements, manage the backlog, validate deliverables, facilitate UAT, and ensure governance and quality standards.
Requirements
The role seeks an experienced Technical Business Analyst with 5–7 years of experience, ideally working across life sciences, Advanced Therapy, and manufacturing data systems. Responsibilities require familiarity with MES, eLIMS, ERP, SQL or data exploration tools, data modeling, requirements documentation, and UAT.
About Virtusa
Industry: IT Services and IT Consulting
Company size: 10,001+ employees
Virtusa is a global AI native engineering services company helping enterprises bridge the gap between AI hype and real-world ROI. We help organizations move from ad hoc AI adoption to fully autonomous, agentic-ready operations, unlocking the value that matters: new revenue, stronger margins, and better experiences for customers and employees. We do this by changing how work gets done. By leveraging deep domain, process, and engineering mastery, we integrate each client's operational context directly into their technology systems. Drawing on 30 years of product and platform engineering heritage, Virtusa leads by example. Our global workforce serves as its own proving ground, equipped with certified AI native engineering teams, autonomous agentic practices, and deep platform alliance partnerships. Headquartered in Southborough, Massachusetts, Virtusa serves Forbes Global 2000 leaders in financial services, healthcare, insurance, communications, media, retail, high-tech, and more.