QMS Specialist (Business Architect)

QMS Specialist (Business Architect)

Role Overview

We are looking for an experienced Veeva QMS Configuration Lead to own the configuration, enhancement, and operational support of Veeva Vault QMS capabilities while partnering closely with integration, data, and platform teams to deliver reliable enterprise quality solutions.

This is a lead-level configuration and integration services role focused on hands-on Veeva QMS configuration, solution design, workflow enablement, integration readiness, release support, and production sustainment. The ideal candidate must be able to independently translate business and quality process requirements into scalable Vault configurations, partner with technical teams on APIs and integration services, and ensure solutions are delivered with strong compliance, traceability, and operational discipline.

The role requires deep functional and technical understanding of Veeva Vault QMS configuration, strong integration services knowledge, and the ability to lead cross-functional delivery in a regulated life sciences environment.

Key Responsibilities

• Veeva QMS Configuration Leadership & Integration Services

• Lead configuration design and implementation for Veeva Vault QMS, including workflows, lifecycles, object models, page layouts, document and quality process configurations, security, roles, and business rules.

• Partner with integration teams to define, validate, and support Veeva integration services, including APIs, MuleSoft services, data mappings, event handling, authentication, and error management.

• Translate business requirements into effective Vault QMS configurations that support deviations, CAPA, change control, audits, complaints, quality events, and related quality processes.

• Provide hands-on configuration expertise across:

• Vault objects, fields, layouts, and related object relationships

• Workflows, lifecycles, states, roles, and permissions

• Reports, dashboards, notifications, and controlled configuration changes

• Integration touchpoints, source-to-target mappings, and validation support

• Release deployment, migration packages, and environment configuration management

• Support API-enabled integrations, authentication, logging, monitoring, exception handling, and retry mechanisms in partnership with integration service teams.

• Troubleshoot and resolve configuration, workflow, integration, and data issues across development, test, validation, and production environments.

• Databricks Engineering & Data Pipelines

• Build and support scalable data pipelines using:

• Databricks

• Apache Spark

• PySpark

• Spark SQL

• Delta Lake

• Independently configure and manage:

• Databricks Workflows

• Job scheduling

• Clusters

• Notebooks

• Databases and