Senior Manager, Data Engineering

Scotiabank • Toronto, ON

5d • Onsite

About The Position

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.

Requirements

• 7–10+ years of experience in data engineering, analytics engineering, or platform engineering roles
• 7–10+ years of experience in financial systems, reporting, or analytics environments
• Proven track record delivering enterprise-scale data and modeling solutions
• Experience in financial services or regulated industries strongly preferred
• Strong expertise in data engineering (pipelines, ETL/ELT, transformations)
• Strong expertise in data modeling (dimensional, semantic, analytical models)
• Strong expertise in cloud data ecosystems (warehouses, lakehouses)
• Experience with SQL and data transformation tools
• Experience with APIs and system integration patterns
• Experience with BI and visualization tools (Power BI, Cognos, etc.)
• Experience with planning platforms (e.g., Anaplan – preferred)
• Good understanding of financial planning & analysis (FP&A) processes
• Good understanding of financial and/or regulatory reporting
• Good understanding of key financial metrics, drivers, and hierarchies
• 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
• Excellent stakeholder management and executive communication skills
• Experience working in large, matrixed organizations

Nice To Haves

• Experience with Anaplan

Responsibilities

• Lead the design and delivery of end-to-end data and modeling solutions for Finance use cases
• Build and operationalize driver-based forecasting solutions, scenario and simulation engines, and financial data products and reusable modeling components
• Ensure solutions are scalable, performant, and production-ready
• Partner with data engineering teams to develop robust data pipelines and transformation frameworks, curated Finance data domains and data products, and high-quality, governed datasets for modeling and analytics
• Leverage modern cloud data platforms, warehouses, and lakehouse architectures
• Enable integration across ERP / GL systems, risk and regulatory platforms, planning tools (e.g., Anaplan or equivalent), and enterprise data platforms
• Design and implement semantic layers and data models that support finance use cases
• Drive development of automated and intelligent Finance solutions, including forecast automation pipelines, variance analysis and anomaly detection, and integration with AI/ML models (in collaboration with data science teams)
• Embed analytics into end-to-end Finance workflows
• Ensure all solutions align with enterprise architecture principles, data governance, lineage, and quality standards, and security, audit, and compliance requirements
• Contribute to defining target-state architecture for Finance data and modeling
• Embed controls for data lineage and traceability, model governance and validation, and auditability and regulatory compliance (e.g., BCBS 239)
• Partner with Risk, Compliance, and Audit teams to ensure control effectiveness
• Lead delivery of complex data and modeling engineering initiatives
• Manage cross-functional teams across data engineering, architecture, Finance stakeholders, and vendors (if applicable)
• Drive Agile delivery practices and ensure high-quality execution
• Act as a key interface between Finance and Technology
• Translate business requirements into technically robust solutions
• Communicate complex technical concepts in business-relevant terms to senior stakeholders

Benefits

• Purpose driven winning team
• Inclusive and high-performing culture
• Industry leader for Financial Technology and Innovation
• History of safely leveraging new tools to enable new experiences for our customers
• Focusing on ensuring we protect their interests and goals
• Modernization programs which aim to offer enriched information and transparencies to support the rapidly evolving payments community
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed