Role Overview We are seeking a seasoned Enterprise Solution Architect with deep expertise in the Life Sciences value chain and data modernization to lead complex, high-value client engagements. You will serve as a strategic bridge between business objectives and technical execution, driving architectural governance, solution shaping, and technical sales enablement, specifically within the Life Sciences sector. Key Responsibilities Life Sciences Domain Leadership: Drive end-to-end data modernization across the Life Sciences value chain-spanning Randamp;D, Clinical Data, and Commercial operations. Lead discovery workshops to define high-impact use cases that accelerate drug development and commercial outcomes. Solution Strategy andamp; Shaping: Translate complex business problems into scalable, value-led architecture roadmaps across AWS, Azure, and GCP. Lead end-to-end solutioning for high-value pursuits. Architecture Leadership: Provide technical governance for critical programs. Drive the adoption of modern data platforms, including Lakehouse architectures for large-scale clinical and commercial data sets. Innovation andamp; GenAI: Spearhead the development of GenAI assets (eg, agentic workflows for Randamp;D/IT) and Proof-of-Concepts (POCs) tailored to Life Sciences workflows. Stakeholder Management: Partner with C-suite and senior stakeholders to align technical roadmaps with enterprise goals, ensuring compliance and data reusability across global research and ..... full job details .....