Process Architect
Remote · Berlin, State of Berlin, Germany
Job Summary
As a Process Architect at Veeva, you will lead the transition from document-centric processes to a modern, data-centric ecosystem in Validation Management. Responsibilities include collaborating with customers to extract and map requirements, ensuring data alignment across the validation lifecycle, managing bulk data loads, and providing expertise on digitalization best practices. The role requires 5+ years in life sciences validation, customer-facing consulting experience, and proficiency in bulk data management. A Bachelor's degree in engineering or a related field is essential.
Required Qualifications
- 5+ years of experience in life sciences validation with a deep technical understanding of CSV/A and CQV lifecycles for facilities, utilities, and manufacturing equipment
- Proven experience in a customer-facing consulting or billable professional services role with the ability to lead technical workshops and advise executive stakeholders
- Experience mapping complex customer business processes into standardized data languages to move organizations to paperless validation models
- Strong working knowledge of risk-based qualification approaches and industry standards such as ASTM E2500, ISPE Baseline Guides, and Annex 15
- Proficiency in bulk data loading tools and managing data integrity within cloud-based platforms
- Strong analytical skills for identifying configuration gaps between legacy customer data and system templates
- Bachelor’s degree in Engineering (Chemical, Mechanical, Bioengineering, Electrical, or related technical field)
- Ability to travel domestically and internationally for key customer engagements and internal meetings up to 30% with typical travel around 15%
Desired Qualifications
- Active participation or leadership within ISPE, EMA, or other industry technical committees or networks
- Direct experience leading large-scale, enterprise digital validation implementations and rollouts
- Previous experience in organizational change management within a manufacturing or quality environment
- Familiarity with data transfer methodologies or specialized migration tooling
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