AI Infrastructure and Data Engineering Site Leader (Edinburgh)
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Description and Requirements
Location: Edinburgh, Scotland (Onsite, 3:2 hybrid policy)
Lenovo is seeking a visionary leader to establish and lead its new AI site in Edinburgh. This role will drive the strategy and execution of AI infrastructure and data engineering globally, while also serving as the senior site leader for the Edinburgh hub. The ideal candidate will possess deep technical expertise in large-scale data systems and a proven track record of building and scaling high-performing global teams.
Key Responsibilities
* Define and implement the vision, roadmap, and architecture for AI infrastructure and data engineering.
* Anticipate future data and AI infrastructure needs to ensure scalability and efficiency.
Leadership & Team Building
* Lead, mentor, and grow a global team of engineers, managers, and architects.
* Foster a culture of innovation, technical excellence, and operational discipline.
* Ensure systems are optimized for scalability, reliability, security, and cost-efficiency.
* Establish and maintain SLAs for data fidelity, privacy, and compliance.
Cross-Functional Collaboration
* Partner with Data Science, ML Engineering, Research, and Product teams.
* Drive adoption of AI-assisted workflows and self-service analytics.
Operational Excellence
* Build and manage global data pipelines and governance frameworks.
* Deliver impactful dashboards and analytics to inform decision-making.
* Implement tools for data auditing, lineage tracking, and experimentation (e.g., A/B testing).
Requirements
* 12+ years in data engineering/infrastructure, with 5+ years leading global teams (20+ people).
* Proven leadership of cross-functional engineering teams.
* Deep expertise in distributed systems, model training infrastructure, and inference platforms.
* Strong experience with cloud platforms (AWS, GCP, Azure) and hybrid/on-prem systems.
* Proficiency in MLOps/DevOps: CI/CD, Docker, Kubernetes, observability, automation.
* Experience with GPU/TPU clusters, high-performance storage, and networking optimization.
* Familiarity with compliance standards (SOC2, HIPAA, GDPR).
* Strong communication and change management skills.
Preferred
* BS/MS/PhD in Computer Science, Engineering, Math, or related field.
* Knowledge of Spark, Kafka, Flink, SQL/NoSQL databases, and data governance.
* Experience with AI-assisted data workflows and intelligent interfaces.
What Lenovo Can Offer You:
* Opportunities for career advancement and personal development
* Access to a diverse range of training programs
* Performance-based rewards that celebrate your achievements
* Flexibility with a hybrid work model (3:2) that blends home and office life
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
If you require an accommodation to complete this application, please contactability@lenovo.com
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