Description
The Senior Technical SME and Engineer for Engineering, EHS & Sustainability provides technical leadership for a product family, technology platform, programme or group of sites.
Responsibilities:
- Implement technical solution designs and configurations in accordance with approved architecture and product strategy.
- Own technical quality for the assigned scope, including specifications, design documentation, configuration records and technical validation evidence.
- Keep EHS, engineering and sustainability system configuration under version control, peer-reviewed, and covered by repeatable tests.
- Perform troubleshooting and root-cause analysis, with timely escalation where manufacturing batches, product quality, patient supply or data integrity may be affected.
- Design or configure interfaces, workflows, recipes, data models and environments and write or review related specifications and test scripts.
- Analyse logs, metrics, monitoring and system behaviour to identify defects, performance issues and opportunities for improvement.
- Coach site engineers and super users and contribute to training, runbooks and knowledge articles.
- Lead technical design and implementation across multiple projects, releases or sites.
- Review and approve key technical specifications, design documents, configurations, test scripts and validation evidence.
- Provide technical direction during complex incidents, releases and stabilisation and coordinate internal and supplier engineering resources.
- Assess technical risks and ensure mitigation addresses security, compliance, resilience, data integrity and supportability.
- Maintain technical standards and reusable engineering assets for the assigned product family or platform.
- Support formal technical assurance, audits and inspections and ensure corrective actions are evidence based.
- Drive engineering lessons learned and cross-team continuous improvement.
- Lead the end-to-end technical design and implementation of secure, scalable AI and generative AI solutions.
- Define and approve AI evaluation strategies, acceptance criteria, test evidence and production-readiness decisions.
- Ensure appropriate controls for responsible AI, data privacy, cybersecurity, human oversight, traceability and regulated change.
- Lead complex investigations into AI quality, retrieval, data, integration and operational issues.
- Establish reusable AI engineering standards, reference architectures and design patterns, while coaching engineers and suppliers.
Requirements:
- Bachelor's or Master's degree in Engineering, Computer Science, Information Technology, Automation, Data, Life Sciences or a relevant technical discipline, or equivalent practical experience.
- Relevant technical, cloud, integration, automation, data, validation, cyber security or engineering certifications are desirable.
- Typically 7+ years of hands-on technical engineering experience in complex enterprise or operational technology environments.
- Proven experience leading technical design and implementation for a product family, platform, programme or multiple sites.
- Experience reviewing and approving specifications, design documents, configurations, test scripts and technical validation evidence.
- Demonstrated leadership of complex troubleshooting and root-cause investigations across systems, interfaces, workflows, data and infrastructure.
- Experience coordinating internal engineers, site teams, vendors and specialist partners through design, deployment and stabilisation.
- Experience assessing technical risk and ensuring security, data integrity, resilience, compliance and supportability requirements are met.
- Experience coaching engineers and translating lessons learned into reusable standards, patterns and knowledge.
- Experience supporting audits, inspections or formal technical assurance activities.
- Experience leading at least one AI or generative AI solution from design through testing, controlled release and operational support.