Lead Software Engineer

Virtusa; Amsterdam; On-site; EUR 70,000 - 110,000; Full time

Job summary

Virtusa is seeking an experienced Technical Business Analyst in Life Science Advanced Therapy to drive onboarding of new products and quality data into enterprise data products platforms. The BA will bridge manufacturing sites, process development, and data engineering, focusing on data ingestion, harmonizing models, and integrating operational data into downstream CAR-T/Advanced Therapy digital offerings.

The role requires translating business goals into actionable user stories, validating data

Qualifications

• 5-7 years of experience as a Technical Business Analyst in life sciences or biotech.
• Experience with data ingestion pipelines, data models, and data governance.
• SQL proficiency and ability to perform data profiling and validation.
• Familiarity with MES, eLIMS, and ERP platforms.
• Ability to translate business goals into user stories and acceptance criteria.

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.

Skills

SQL

Data profiling

Data modeling

Requirements gathering

Tools

MES

eLIMS

ERP

CDL schemas

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