Lead a large-scale engineering organization in the Data & AI domain, define the technological strategy, manage global multiple teams and managers, and drive the delivery and innovation of advanced AI-powered solutions and data platforms.
What will your job look like?
Lead a multi-disciplinary engineering group including software engineers, data engineers, ML engineers, and team managers, while shaping the long-term technological and product roadmap.
Define the Data & AI strategy for the product, including architecture, scalability, engineering standards, and best practices.
Oversee end-to-end development of Data and AI capabilities, including model integration (LLMs/ML), data pipelines, analytics components, and production-grade AI services.
Work closely with Product, Architecture, Delivery, and customer stakeholders to translate business needs into scalable AI and data-driven solutions. Manage agile engineering processes: planning, prioritization, execution, technical design reviews, DevOps practices, and quality control.
Lead innovation initiatives in Generative AI, evaluate emerging technologies, and own POCs, pilots, and transformation activities.
Manage budgets, recruitment, talent development, leadership growth, and organizational KPIs.
Represent the Data & AI domain in executive forums, customer discussions, and cross-organizational strategic initiatives.
Requirements: 10-15 years of hands-on software development experience, including 5+ years managing large engineering groups
Proven leadership experience in delivering complex Data and AI solutions in enterprise or product environments.
Strong expertise in Data architecture: Data Lakes, Data Pipelines, Streaming, Distributed Systems.
Deep experience with AI/ML technologies:
Production-grade model deployment
MLOps practices
LLMs / Generative AI
Training, evaluation, and monitoring of ML models
Hands-on experience designing and delivering cloud-based architectures (AWS, GCP, or Azure).
Strong ability to lead engineering strategies, coach leaders, and scale large development organizations.
Excellent communication skills and experience collaborating with executive leadership, Product, and customers.
Very high level of English.
This position is open to all candidates.