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 contemporary 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

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