Description
Enterprise Systems Management & Business Operations delivers digital solutions that support Enterprise Systems running as a high-performing organisation.
The Senior Technical SME for QA Systems provides technical leadership across the Quality Assurance product family and technology platforms, including Veeva, SAP, Mendix and AI-enabled automation solutions.
Key Responsibilities:
- Design, develop, test and implement AI-enabled automation and agents capabilities supporting the Quality Assurance platform development team
- Perform troubleshooting and root-cause analysis, with timely escalation where manufacturing batches, product quality, patient supply or data integrity may be affected
- Own technical quality for the assigned scope, including specifications, design documentation, configuration records and technical validation evidence
- Analyze logs, metrics, monitoring and system behavior to identify defects, performance issues and opportunities for improvement
- Review and approve key technical specifications, design documents, configurations, test scripts and validation evidence
- Provide technical direction during complex incidents, releases and stabilization and coordinate internal and supplier engineering resources
- Maintain technical standards and reusable engineering assets for the assigned product family or platform
- Drive engineering lessons learned and cross-team continuous improvement
- Ensure appropriate controls for responsible artificial intelligence, data privacy, cybersecurity, human oversight, traceability and regulated change
Basic Qualifications:
- Bachelor’s or master’s degree in engineering, Computer Science, Information Technology, Automation, Data, Life Sciences or another technical discipline
- Experience with technical, cloud, integration, automation, data, validation, cyber security or engineering certifications
- Minimum of five years of hands-on technical engineering experience in large-scale enterprise or operational technology environments
- Experience leading technical design and implementation for a product family, platform, programme or multiple sites
- Experience leading troubleshooting and root-cause investigations across systems, interfaces, workflows, data and infrastructure
- Experience assessing technical risk and ensuring security, data integrity, resilience, compliance and supportability requirements are met
- Experience coaching engineers and converting lessons learned into reusable standards, patterns and knowledge assets
- Experience leading at least one artificial intelligence or generative artificial intelligence solution from design through testing, controlled release and operational support
Preferred Qualifications:
- Apply analytical and structured problem-solving methods to technical engineering and automation activities
- Experience in Translating architecture and product direction into technical designs and implementation plans
- Experience in Producing technical documentation and maintaining specifications, designs, test evidence and configuration records
- Experience in interfaces, workflows, data, environments, monitoring and operational support practices
- Experience in security, quality, validation, data integrity, resilience and change control requirements