Thibault Vialar

Data Engineer @BMO

Toronto, ON, CA

Data Engineer with 3+ years of experience building scalable data, AI, and graph analytics solutions at BMO’s Applied AI team. Proven ability to lead technical delivery, design cloud-native architectures, develop AI pipelines, and partner with senior stakeholders across business and technology groups. Strong focus on analytics engineering, AI/LLM integration, and cross-functional collaboration.B2B Universal Data Model – Re-designed & implemented a scalable enterprise-wide data model for commercial clients. – Delivered automated pipelines processing billions of payment records, enabling 10+ teams to extract insights from unified data.Graph Network Analytics – Built Neo4j pipelines and graph structures mapping enterprise-wide customer relationships. – Conducted demos to senior leadership and business partners, driving adoption for segmentation and opportunity identification.Cross-Sell, Client Insights & Revenue Initiatives – Led end-to-end process generating high-quality corporate card leads, resulting in direct revenue. – Analyzed major balance reduction events and delivered insights to leadership within days. – Identified prospects following an AMEX product shutdown.Generative AI Initiatives – Designed and validated index retrieval quality using LLM-as-a-judge. – Built ingestion pipelines consolidating contract and installation data for Software Asset Management automation—unlocking $60–80M potential savings.Leadership & Collaboration- Key presenter for business demos, technical deep dives, and GenAI agent sessions- Partnered with 10+ cross-functional groups including TPS, PNBB, Commercial Sales, Wealth, Cloud Engineering, and Technology & Operations- Mentored juniors, led sub-projects

Polytechnique Montréal

Baccalauréat, Ingénierie mécanique

National Taiwan University

Engineering

HEI - Hautes Etudes d'Ingénieur

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