Scotiabank continues to be an industry leader for Financial Technology and Innovation. We have a history of safely leveraging new tools to enable recent experiences for our customers, focusing on ensuring we protect their interests and goals. The results of this lead to modernization programs which aim to offer enriched information and transparencies to support the rapidly evolving payments community. The Senior Manager, Financial Data & Modeling Solutions Engineering is a technology leadership role responsible for designing, building, and scaling enterprise‑grade data and modeling solutions that power Finance capabilities. Sitting within the Technology organization, this role enables financial planning, forecasting, regulatory reporting, and advanced analytics through modern data platforms, engineered modeling solutions, and integrated systems. The role bridges financial domain expertise with engineering execution, ensuring Finance is supported by high‑quality, production‑grade data pipelines, reusable modeling frameworks, and scalable analytics solutions aligned with enterprise architecture and data strategy. Financial Data & Modeling Solutions Engineering ~ Lead the design and delivery of end‑to‑end data and modeling solutions for Finance use cases ~ Financial data products and reusable modeling components ~ Data Engineering & Platform Enablement ~ Partner with data engineering teams to develop: ~ Robust data pipelines and transformation frameworks ~ Curated Finance data domains and data products ~ High‑quality, governed datasets for modeling and analytics ~ Leverage modern cloud data platforms, warehouses, and lakehouse architectures ~Risk and regulatory platforms ~ Enterprise data platforms ~ Design and implement semantic layers and data models that support finance use cases ~Forecast automation pipelines ~ Integration with AI/ML models (in collaboration with data science teams) ~ Data governance, lineage,



and quality standards ~ Contribute to defining target‑state architecture for Finance data and modeling ~Governance, Risk & Regulatory Enablement ~ Embed controls for: ~ Data lineage and traceability ~ Auditability and regulatory compliance (e.g., Partner with Risk, Compliance, and Audit teams to ensure control effectiveness ~Delivery & Engineering Leadership ~ Lead delivery of complex data and modeling engineering initiatives ~ Data engineering ~ Drive Agile delivery practices and ensure high‑quality execution ~Communicate complex technical concepts in business‑relevant terms to senior stakeholders Data engineering, analytics engineering, or platform engineering roles ~ Proven track record delivering enterprise‑scale data and modeling solutions Technical Skills Data engineering (pipelines, ETL/ELT, transformations) Data modeling (dimensional, semantic, analytical models) Cloud data ecosystems (warehouses, lakehouses) SQL and data transformation tools BI and visualization tools (Power BI, Cognos, etc.) Planning platforms (e.g., Financial planning & analysis (FP&A;) processes Financial and/or regulatory reporting Ability to map Finance concepts into data and engineering abstractions Strong engineering leadership and program delivery experience Ability to operate across business and technical domains Delivery of scalable, high‑quality financial data and modeling solutions Improved data availability, usability, and performance for Finance Reduction in manual processing through automation and engineering Increased adoption of modern data and modeling platforms Strong compliance with architecture, governance, and regulatory standards Play a critical role in shaping data as a strategic asset across Finance and Risk Directly impact regulatory confidence, audit outcomes, and enterprise decision‑making Oversee the integration of data governance and AI‑driven innovation Partner with senior leadership on high‑visibility transformation initiatives

📌 Senior Manager, Data Engineering (Canada)
🏢 Scotiabank
📍 Canada