Data Science Lead - R01572475

Job requirements

This role designs and guides enterprise AI platforms and advanced analytics solutions, translating business needs into secure, scalable systems ready for production. It combines Azure AI architecture with platform engineering, governance, and collaboration across business and technical teams.

Role at a glance

Skills mentioned

What you will likely work on

• Design and deliver enterprise AI platforms and advanced analytics solutions tied to business objectives.
• Turn complex business use cases into scalable AI, analytics, and technology architectures.
• Implement Azure Foundry and Azure AI services using cloud-native technologies.
• Set architecture patterns for generative AI, machine learning, analytics, and intelligent applications.
• Coordinate AI initiatives with business, data, engineering, and platform teams from planning through implementation.
• Establish standards for AI platform engineering, integration, governance, security, and operations.
• Assess emerging AI capabilities and advise delivery teams and stakeholders on architecture choices.

Good fit signals

• Has 7–10 years of experience across AI, advanced analytics, cloud platforms, and solution architecture.
• Can translate business needs into scalable, secure, production-ready AI solutions.
• Brings hands-on knowledge of Microsoft Azure AI technologies, including Azure Foundry and Azure AI services.
• Can guide architecture decisions and establish practical standards across delivery teams and stakeholders.
• Experience with enterprise AI transformation, RAG, LLMOps, or AI observability is helpful, but listed as preferred.