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Scotiabank

Machine Learning Engineer

Toronto, ON, M5H 1H1, Canada

Apply About employer

Applications open in a new tab.

Job details

Apply by: Nov 6, 2026
Posting language: English
Posted: Nov 2, 2026

Original job description

Requisition ID: 277774

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

Role

Scotiabank is seeking a highly motivated and experienced Senior Manager, Software & Data Engineering to lead the design, development, modernization, and support of critical data and software platforms that enable enterprise reporting, analytics, finance, risk, regulatory, and business operations.

This role combines people leadership, technical expertise, and strategic execution to deliver scalable, secure, and high-performing solutions aligned with the Bank's technology and business objectives.

The successful candidate will lead a team of software engineers, data engineers, and technical specialists while partnering closely with business stakeholders, enterprise architecture, information security, and technology teams across the organization.

What will we expect from you?

Leadership & People Management

Lead, coach, and develop a high-performing team of software engineers, data engineers, developers, and technical analysts.

Foster a culture of accountability, innovation, collaboration, diversity, and continuous improvement.

Establish clear objectives and performance expectations aligned to business and technology priorities.

Support talent acquisition, succession planning, career development, and employee engagement initiatives.

Promote agile delivery practices and continuous learning within the team.

Software Engineering & Solution Delivery

Lead the end-to-end delivery of software solutions, applications, APIs, integrations, and enterprise platforms.

Ensure solutions are designed with scalability, resiliency, maintainability, security, and operational excellence in mind.

Drive modernization initiatives including cloud adoption, automation, DevOps, CI/CD pipelines, and platform transformation.

Collaborate with architecture teams to establish engineering standards, development frameworks, and reusable design patterns.

Oversee application lifecycle management, software currency, and technology risk reduction initiatives.

Data Engineering & Analytics Platforms

Lead the development and maintenance of enterprise data platforms, data pipelines, ETL/ELT processes, and analytical solutions.

Ensure data quality, governance, lineage, reconciliation, and auditability requirements are met.

Support enterprise data strategies and data management practices aligned with regulatory and business requirements.

Oversee integration and movement of data across multiple source systems and cloud-based environments.

Enable advanced analytics, business intelligence, regulatory reporting, and decision-support capabilities through trusted data assets.

Delivery & Stakeholder Management

Partner with business leaders, product owners, project managers, and technology teams to define priorities and deliver strategic initiatives.

Manage project scope, budgets, resources, timelines, and risks across multiple concurrent initiatives.

Communicate project status, technical roadmaps, and key risks to senior leadership and executive stakeholders.

Ensure successful planning and execution of releases, production deployments, and operational transitions.

Risk, Compliance & Operational Excellence

Ensure adherence to Scotiabank's technology standards, cybersecurity policies, governance frameworks, and risk management requirements.

Maintain strong controls supporting regulatory, compliance, audit, and operational risk obligations.

Lead incident management, root cause analysis, and implementation of sustainable corrective actions.

Establish and monitor KPIs, SLAs, system performance metrics, and operational health indicators.

Drive continuous process improvement and automation to increase platform stability and efficiency.

What You Will Bring to Succeed

Required

Undergraduate degree in Computer Science, Engineering, Information Technology, Mathematics, or related equivalent experience.

8+ years of progressive experience in software engineering, data engineering, application development, or technology delivery.

3+ years of leadership experience managing technical teams.

Experience delivering enterprise-scale software and data solutions in complex, highly regulated environments.

Strong understanding of software development lifecycle (SDLC), Agile methodologies, DevOps, and CI/CD practices.

Experience managing multiple projects and stakeholders simultaneously.

Preferred

Experience within financial services, banking, finance, risk, or regulatory reporting environments.

Experience leading cloud modernization initiatives using Azure, AWS, or GCP.

Experience supporting enterprise analytics, data warehousing, master data management, or reporting platforms.

Professional certifications such as PMP, Azure, AWS, Scrum Master, TOGAF, or equivalent.

Technical Skills

Experience with a combination of the following:

Cloud Technologies (Azure, AWS, GCP)

SQL, PL/SQL, Python, Java, C#, .NET, or similar technologies

Data Engineering and ETL platforms (Informatica, DataStage, Azure Data Factory, Databricks)

Data Warehousing and Analytics Platforms

API and Microservices Architecture

DevOps and CI/CD tools

Version Control and Source Code Management (Git, Azure DevOps)

Oracle, SQL Server, Snowflake, or other enterprise database platforms

Monitoring and Observability Solutions

Data Governance and Data Quality Frameworks

Leadership Competencies

The successful candidate demonstrates:

Strategic thinking and business acumen

Strong people leadership and coaching capabilities

Excellent communication and stakeholder management skills

Results orientation and accountability

Problem-solving and critical-thinking skills

Ability to influence across technical and business teams

Strong execution and organizational skills

Commitment to inclusion, collaboration, and continuous improvement.

The Workplace

We are technology partners who help the business transform how our employees around the world work
We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
We foster an environment of innovation and continuous learning
We care about our people, allowing them to design how they work to deliver amazing results
We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

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. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

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More about this job

Responsibilities

Lead a team of software and data engineers to design, develop, and modernize critical enterprise platforms for reporting, analytics, and business operations. Manage project delivery, stakeholder relationships, and operational excellence while ensuring compliance with security and regulatory standards.

Requirements

Requires an undergraduate degree in a technical field and over 8 years of progressive experience in software or data engineering. Candidates must have at least 3 years of leadership experience and a strong background in enterprise-scale solutions within regulated environments.

Skills

Software engineering
Data engineering
People leadership
Cloud modernization
Azure
AWS
GCP
SQL
Python
Java
ETL
DevOps
CI/CD
API development
Data governance
Agile methodologies

Benefits

Performance bonus
Company matching programs
Pension matching
Profit sharing
Generous vacation

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
Data Engineering
Cloud Modernization
Azure
AWS
GCP
SQL
Python
Java
ETL
DevOps
CI/CD
API
Microservices
Data Governance
Data Warehousing
Agile
SDLC
Financial Services
Regulatory Reporting
Risk Management
Informatica
Databricks
Snowflake
Git
Leadership
Stakeholder Management
Enterprise Architecture
Cybersecurity
Operational Excellence

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