Lead CSV Engineer for GxP & SaaS Validation

NTT DATA, Inc.

United States

Hybrid

USD 80,000 - 114,000

Full time

11 days ago
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Job summary

Lead CSV Engineer at engineeringjobs.net, Inc. in Pittsburgh, PA, offers a hands-on leadership role within a regulated Life Sciences environment.

You will own end-to-end CSV activities for GxP-compliant systems, SaaS and enterprise applications, including risk-based validation, testing, documentation, and regulatory alignment. Ideal candidate has 6+ years in CSV, deep knowledge of GAMP5, FDA 21 CFR Part 11, EU Annex 11, and ALCOA+ data integrity, with strong collaboration across Quality, IT,

Qualifications

  • 6+ years of CSV experience in regulated Life Sciences environments.
  • Strong hands-on GAMP5 risk-based validation experience.
  • Experience with validation documentation: URS/FRS, RTM, VSR, DMQ, SOPs.

Responsibilities

  • Lead full CSV lifecycle from planning to go-live and maintenance.
  • Develop risk-based validation strategies aligned with GAMP5 and regulatory standards.
  • Define scope, testing requirements, acceptance criteria and traceability.
  • Lead risk assessments and testing across SaaS and enterprise apps.
  • Prepare and review validation deliverables (plans, scripts, DMQ, VSR, RTM).
  • Mentor junior staff and coordinate with Quality, IT, and Vendors.

Skills

CSV expertise
Regulatory compliance
GAMP5
FDA Part 11
ALCOA+ data integrity
SaaS validation
Vendor coordination
Data migration validation
Leadership

Tools

JAMA Connect
HP ALM/ALM Compliance
Jira
ServiceNow
QMS
Oracle ERP
Veeva Vault
Maximo

Job description

Lead CSV Engineer at engineeringjobs.net, Inc. in Pittsburgh, PA, offers a hands-on leadership role within a regulated Life Sciences environment.

You will own end-to-end CSV activities for GxP-compliant systems, SaaS and enterprise applications, including risk-based validation, testing, documentation, and regulatory alignment. Ideal candidate has 6+ years in CSV, deep knowledge of GAMP5, FDA 21 CFR Part 11, EU Annex 11, and ALCOA+ data integrity, with strong collaboration across Quality, IT,

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