Senior Manager, Data Engineering

Requisition ID: 263318

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Scotiabank continues to be an industry leader for Financial Technology and Innovation. We have a history of safely leveraging new tools to enable new 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.

Role Overview

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.

Key Responsibilities

• 1. Financial Data & Modeling Solutions Engineering
  • 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
    • Financial data products and reusable modeling components
  • Ensure solutions are scalable, performant, and production‑ready
• 2. 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
• 3. Modeling Platform Integration
  • Enable integration across:
    • ERP / GL systems
    • Risk and regulatory platforms
    • Planning tools (e.g., Anaplan or equivalent)
    • Enterprise data platforms
  • Design and implement semantic layers and data models that support finance use cases
• 4. Advanced Analytics & Automation
  • Drive development of automated and intelligent Finance solutions , including:
    • Forecast automation pipelines
    • Variance analysis and anomaly detection
    • Integration with AI/ML models (in collaboration with data science teams)
  • Embed analytics into end‑to‑end Finance workflows
• 5. Architecture Alignment & Standards
  • Ensure all solutions align with:
    • Enterprise architecture principles
    • Data governance, lineage, and quality standards
    • Security, audit, and compliance requirements
  • Contribute to defining target‑state architecture for Finance data and modeling
• 6. Governance, Risk & Regulatory Enablement
  • Embed controls for:
    • Data lineage and traceability
    • Model governance and validation
    • Auditability and regulatory compliance (e.g., BCBS 239)
  • Partner with Risk, Compliance, and Audit teams to ensure control effectiveness
• 7. Delivery & Engineering Leadership
  • Lead delivery of complex data and modeling engineering initiatives
  • Manage cross‑functional teams across:
    • Data engineering
    • Architecture
    • Finance stakeholders
    • Vendors (if applicable)
  • Drive Agile delivery practices and ensure high‑quality execution
• 8. Stakeholder Engagement & Translation
  • 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

Qualifications & Experience

Experience

• 7–10+ years of experience in:
  • Data engineering, analytics engineering, or platform engineering roles
  • 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

Technical Skills

• Strong expertise in: