VP Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
VP Engineering (AI & Automation): Driving a step-change in software engineering and architecture for a global assurance partner with an accent on AI-assisted engineering and automation. Focus on implementing DORA metrics, reducing time to release, and scaling the engineering operating model.
Location: Birmingham, UK (Remote possibilities indicated)
Company
is a leading global assurance partner providing certification, inspection, cybersecurity, and advisory services to help clients manage risk and build sustainable businesses.
What you will do
- Lead the adoption of AI-assisted engineering and establish the standards and scaffolding required for scale.
- Drive automation across the software lifecycle, including CI/CD and automated testing, to shorten time to release.
- Define and implement an engineering productivity framework based on DORA and cycle-time metrics.
- Set the software engineering strategy, multi-year technical roadmap, and technology-stack direction.
- Establish architecture direction and design standards for security, reliability, and performance across the estate.
- Lead and develop senior technical leadership, including the Head of Development and Enterprise Architect.
Requirements
- Proven experience in software engineering leadership at scale, driving structural changes in how software is built.
- Direct experience introducing AI and automation into engineering workflows.
- Deep grounding in Continuous Delivery, DevOps, cloud technologies, and productivity measurement.
- Strong architecture background with experience running a Technical Design Authority.
- Track record of establishing engineering standards and reusable foundations.
- Experience in engineering organization design, operating models, and executive-level influence.
Culture & Benefits
- High-impact leadership role with direct influence on the executive board and company strategy.
- Opportunity to spearhead a major digital transformation and AI integration.
- Work environment based on diverse perspectives, shared ambition, and integrity.
- Focus on professional growth and contributing to a global risk management advantage.
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