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 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.

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:

Data engineering (pipelines, ETL/ELT, transformations)

Data modeling (dimensional, semantic, analytical models)

Cloud data ecosystems (warehouses, lakehouses)

Experience with:

SQL and data transformation tools

APIs and system integration patterns

BI and visualization tools (Power BI, Cognos, etc.)

Planning platforms (e.g., Anaplan – preferred)

Finance Domain Knowledge

Good understanding of:

Financial planning & analysis (FP&A;) processes

Financial and/or regulatory reporting

Key financial metrics, drivers, and hierarchies

Ability to map Finance concepts into data and engineering abstractions

Leadership & Delivery Skills

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

Key Success Measures

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

Why Join our Team

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

Location
Canada: Ontario: Toronto

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone.

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