Pharma Data & AI Technical Lead — Snowflake Cortex
Cygnus Professionals Inc.
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Job summary
Global Pharmaceutical Enterprise seeks a Senior Technical Lead & Business Consultant to drive next-generation data and AI initiatives in the pharmaceutical domain. You will bridge business needs with scalable architectures, leading delivery of secure data pipelines using Snowflake Cortex AI and governance with Collibra.
Ideal candidates have 8+ years in technical consulting or architecture within pharma, with proven leadership in enterprise environments and a strong focus on data governance and
Qualifications
- 8+ years in technical consulting, solution architecture, or leadership within the pharmaceutical or life sciences domain.
- Expert-level proficiency in Snowflake data warehousing and analytics engineering.
- Hands-on experience implementing generative AI and ML workflows via Snowflake Cortex AI.
- Advanced proficiency in data governance, data cataloging, and quality frameworks using Collibra.
Responsibilities
- Technical Leadership: Lead cross-functional engineering and analytics teams in designing and deploying cloud-native data platforms.
- Business Consulting: Partner with R&D, commercial, and compliance stakeholders to translate challenges into data-driven solutions.
- AI & Data Architecture: Architect secure, high-performance data pipelines and AI capabilities leveraging Snowflake Cortex AI.
- Governance & Compliance: Establish robust governance, lineage, and cataloging frameworks using Collibra, ensuring GxP compliance.
Skills
Tools
Job description
Global Pharmaceutical Enterprise seeks a Senior Technical Lead & Business Consultant to drive next-generation data and AI initiatives in the pharmaceutical domain. You will bridge business needs with scalable architectures, leading delivery of secure data pipelines using Snowflake Cortex AI and governance with Collibra.
Ideal candidates have 8+ years in technical consulting or architecture within pharma, with proven leadership in enterprise environments and a strong focus on data governance and
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