Lead Data Scientist 4D

Role overview

Architecture and delivery

• Contribute to architecture principles, strategies, and frameworks across R&D and Commercial.
• Drive scalable, standardized architecture patterns across functions and align initiatives with business priorities.
• Provide architecture oversight and ensure consistent, integrated technology and pattern use across development teams.
• Advocate best practices, tools, and methods for data, analytics, and AI solutions.
• Contribute to future-state architectures, frameworks, patterns, and roadmaps.
• Promote awareness of Enterprise Analytics architecture frameworks and review high-level and reference architectures.

Collaboration and scope

• Collaborate with data engineers, data scientists, AI engineers, and other team members.
• Partner with stakeholders across R&D, Commercial, Finance, MGS Labs, and Innovation.
• Act as a trusted authority and single point of contact for the Enterprise Analytics technology ecosystem.
• Work autonomously through ambiguity and organizational complexity, and share emerging technology insights.

Essential qualification

• Previous experience as a Solution Architect or Data Architect is essential.