Find work in Canada.

355,777 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 1 day ago
W
Sr. Software Development Engineer / Principal, Software Development Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As either a Senior Software Development Engineer or a Principal Software Development Engineer on the AI Model Serving team, you will be a technical leader who helps shape the vision and…
Added 1 day ago
G
Associate, Client Engineering (Mexico City)
Glia
Vancouver, BC
- Full-time
Glia is the #1 Banking AI platform, empowering community and regional financial institutions to create efficiencies, accelerate loan growth, drive deposits, and deliver experiences that win…
Added 1 day ago
Sr. Staff Engineer, IP Runtime
Tenstorrent
Toronto, ON
How custom silicon IP blocks - including RISC-V processor cores, accelerator engines, memory systems, data-movement logic, and interconnects - work together as a complete execution platform.
Added 1 day ago
B
Senior Manager, Data Engineer, Applied AI Data Ingestion & Integration
BMO
Toronto, ON · FCP
- Full-time
Develop analytical frameworks and KPIs to measure data platform effectiveness, ingestion performance, quality trends, and business outcomes.
Added 1 day ago
R
Python Java Sr Software Engineer -Montreal
RELX
Montreal, QC · Canada - Montreal (St. Laurent)
- Full-time
You will contribute towards Elsevier’s Research Data Platform (RDP). Our team’s primary focus within the RDP is on harvesting and transforming datasets to feed Elsevier’s data products.…
Added 1 day ago
E
Python Java Sr Software Engineer -Montreal
Elsevier
Montreal, QC · Canada - Montreal (St. Laurent)
- Full-time
You will contribute towards Elsevier’s Research Data Platform (RDP). Our team’s primary focus within the RDP is on harvesting and transforming datasets to feed Elsevier’s data products.…
Added 2 days ago
T
Sr, Mainframe Engineer, TD Securities
TD
Toronto, ON
- Full-time
Responsible for detailed technical design, development, and maintenance of applications on the mainframe platform. This includes (and not limited to); conduct impact analysis, design & code…
Added 2 days ago
P
Senior Product Manager, Fund Management
Purpose
Toronto, ON
- Full-time
…moving fund accounting, performance, trading operations, and the data that underpins these all onto a single governed platform. The book of record for our funds, the daily NAVs we strike,…
Added 2 days ago
N
Sr. Principal Software Engineer
Nokia
Ottawa, ON · Kanata, ON
- Full-time
We are looking for an experienced software engineer to lead the development of our distributed edge compute platform. This role demands a deep understanding of hyperscalers like AWS, Azure,…
Added 2 days ago
Platform Engineer
Scotiabank
Toronto, ON
The Platform Engineer will play a critical role within the Enterprise Data & AI Technology organization - one of Scotiabank’s most significant enterprise-wide strategic initiatives. This…
Added 2 days ago
ET
Software Engineer
Envision Technology Solutions
Toronto, ON
- Full-time
Influence software architecture and lead design decisions for the Platform, with particular focus on payments and money-movement systems.
Added 2 days ago
HP
Sr Manager, Business Analytics
Hill's Pet Nutrition
Toronto, ON
- $143,100 to $166,950 CAD / year
- Full-time
…decision-makers, defining commercial problems that can be solved with data, establishing project scope, and translating complex technical concepts to non-technical audiences. Provide people…
Added 3 days ago
MF
Cloud Platform Engineer
MTY Food Group
Montreal, QC
- Full-time
We are seeking a skilled and proactive Cloud Platform Engineer to manage, monitor, and optimize our Amazon Web Services (AWS) and Google Cloud Platform (GCP) environments. This role will be…
Added 3 days ago
Q
Sr Staff/Principal DevOps Engineer, Machine Learning Infrastructure and Performance
Qualcomm
Markham, ON
- Full-time
Today, more intelligence is moving to end devices, and mobile is becoming the pervasive AI platform. Building on the smartphone foundation and the scale of mobile, Qualcomm envisions making…
Added 3 days ago
IS
Senior Data Engineer
Iris Software Inc.
Mississauga, ON
- Contract
Iris's Direct client, a highly diversified financial services provider based in Canada is looking to hire a Sr. Data Engineer for a Long Term Contract opportunity.
Added 4 days ago
Data Scientist (Askuity division)
The Home Depot
Toronto, ON
Engineer robust feature pipelines in Airflow and design reusable data products for analytics and ML use cases.
Added 4 days ago
GT
iOS Developer
GSPANN Technologies, Inc
Vancouver, BC
- Contract
Familiarity with cross-platform tools like Flutter or React Native is a plus.
Added 4 days ago
SO
Sr. Software Engineer
Spirit Omega Inc.
Remote, Canada
- $77 to $85 CAD / hour
- Contract
- Remote
Our client is seeking a highly experienced Senior MuleSoft Developer to support a large-scale enterprise learning platform transformation and migration program. This role will lead the…
Added 4 days ago
M
Senior Full Stack Engineer, Customer & Cardholder Experiences
Marqeta
Remote, Canada
- Full-time
- Remote
We are looking for a Senior Full Stack Software Engineer to join our Customer & Cardholder Experiences team, delivering innovative UIs and embeddable solutions to transform the experience…
Added 4 days ago
T
Sr. Platform Engineer, TD Securities
TD
Toronto, ON
- Full-time
We are looking for an experienced Hands-on Sr. Platform Engineer that will work on innovative and transformational initiatives at TD Securities -- the implementation of the next generation…
Added 4 days ago
Sr Associate Platform Engineer
Scotiabank
Toronto, ON
Contributes to the overall success of the Senior Associate Cloud Platform Engineering function by ensuring long‑term technical vision and roadmap is defined and maintained, focusing on…
Added 5 days ago
Sr Software Dev Engineer III, RDS for Oracle
Amazon
Vancouver, BC
Amazon Web Services is hiring a Software Development Engineer III for the RDS for Oracle team. We are looking for an experienced engineer to design and build the next generation of managed…
Added 5 days ago
AI Engineer Sr
Dayforce
Canada
Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce.
Added 5 days ago
GC
Sr Project Engineer
GDKN Corp.
Mississauga, ON
- Contract
…short, temporary staffing creates a very nimble human capital platform which allows organizations to maximize their productivity and flexibility at all…
Added 6 days ago
Application Security Engineer (senior - principal) Landmark
Halliburton
Calgary, AB
…exploration, drilling, and production optimization. Its software and data platforms empower customers to model subsurface assets, manage drilling risk, and accelerate decision-making…

BMO

Senior Manager, Data Engineer, Applied AI Data Ingestion & Integration

Toronto, ON, Canada
FCP, Canada

$105,000.00 - $215,000.00 · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $105,000.00 - $215,000.00
Job type: Full-time
Apply by: Oct 31, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

Application Deadline:

10/30/2026

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

HYBRID ROLE. This is an Individual Contributor role for a professional who can run initiatives and drive the results.

Team Overview

We accelerate BMO’s AI journey by building enterprise-grade, cloud-native capabilities and AI solutions. Our team combines engineering excellence with cutting-edge AI to deliver scalable, secure, and responsible solutions that power business innovation across the bank. We are engineers, AI practitioners, platform builders, thought leaders, multipliers, and coders. Above all, we are a global team of diverse individuals who enjoy working together to create smart, secure, and scalable solutions that make an impact across the enterprise.

The Applied AI Data Ingestion & Integration (DII) team provides end‑to‑end services to help move, prepare, and operationalize data for AI and analytics workloads. As a Senior Manager within the (DII) Team, you will play a key role in enabling BMO's AI and advanced analytics capabilities by transforming complex business requirements into scalable data solutions. You will lead the analysis, profiling, integration, quality assessment, and operationalization of structured, semi-structured, and unstructured data used across AI, machine learning, and Generative AI applications.

This position involves close collaboration with various technology teams, Cross POD leads, Data Engineers, Data Scientists, Architects, AI and Data engineers, and Business stakeholders to push the adoption of Generative AI technologies and agentic flows across enterprise-wide applications and processes, and to develop partnerships with third-party providers for validating and adopting production-grade solutions. Your work will directly support the development of AI-ready datasets, multimodal document ingestion pipelines, Retrieval-Augmented Generation (RAG) solutions, Building various connectors, resources, and tools for (Model Context Protocol) MCPs.

This role requires deep technical expertise, strong engineering judgement, and the ability to lead through influence. The successful candidate will be expected to own technical outcomes, mentor engineers, manage ambiguity, and drive measurable improvements in platform capability, delivery quality, operational resilience, and business value.

Key Responsibilities:

Data Analysis & Integration Leadership

Deep hands-on technical leadership with enterprise data onboarding, ingestion, and integration initiatives supporting AI, analytics, and business intelligence use cases.
Lead and partner with Product Owners, Data Engineers, Data Scientists, and business stakeholders to translate business needs into actionable data requirements, data models, and integration strategies.
Design and implement reliable, scalable data ingestion and integration pipelines for structured, semi-structured, unstructured data (e.g., databases, files, documents, APIs, events), and multi-modal data, ensuring data is AI ready, governed, secure, and observable.
Ensure pipelines follow enterprise governance, access control, and security standards, including role-based access and lineage considerations. Monitor pipeline performance, troubleshoot failures, and optimize cost and throughput.
Document processes, share knowledge, and contribute to a culture of continuous learning and responsible innovation.

Data Quality, Governance & Compliance

Establish and monitor data quality standards, controls, and metrics to ensure accuracy, completeness, timeliness, and consistency.
Partner with Data Governance, Risk, Compliance, and Model Risk Management teams to ensure adherence to enterprise data policies, regulatory requirements, and Responsible AI standards.
Support data lineage, metadata management, data cataloging, and traceability capabilities across ingestion and integration platforms.

AI & Advanced Analytics Enablement

Collaborate with AI and Data Science teams to prepare, validate, and optimize datasets for machine learning, Generative AI, and advanced analytics applications.
Support multimodal data ingestion initiatives involving documents, images, audio, video, and enterprise knowledge repositories.
Analyze performance and effectiveness of chunking, indexing, retrieval, and data preparation strategies used in RAG and AI Search solutions.
Develop production‑grade services and AI capabilities using Python, REST APIS, JSON/XML, vector databases, RAG evaluation and retrieval metrics.
Develop analytical frameworks and KPIs to measure data platform effectiveness, ingestion performance, quality trends, and business outcomes.
Evaluate emerging AI and data management technologies and recommend opportunities to improve DII capabilities.

Stakeholder Management & Leadership

Lead cross-functional initiatives from discovery through production, partnering with business, technology, architecture, risk, security, and operations teams.
Provide mentorship and guidance to analysts and junior team members, fostering a culture of continuous learning and analytical excellence and technical accountability.
Communicate complex technical findings, risks, and recommendations to both technical and non-technical audiences, including senior leadership.
Own and drive continuous initiatives that increase automation, operational efficiency, and scalability of data ingestion and integration processes.

Required Qualifications:

8-10 years of experience in Data Engineering/ support, or related analytics disciplines, preferably within large enterprise environments.
3+ years experience as a Technical Delivery Leader (who owned the work)
Demonstrated experience in leading technical delivery for enterprise data integration, data warehousing, ETL/ELT processes, cloud data platforms, data governance, and production analytics or AI platforms.
Strong proficiency in SQL, Python, or similar, and experience working with large-scale datasets across cloud and on-premises environments.
Experience using analytical and visualization tools such as Power BI, Tableau, Python, Azure Data Factory, Azure AI Search, or equivalent technologies.
Strong communication and stakeholder management skills, with the ability to influence decisions across business and technology organizations.
Demonstrated ability to lead initiatives, manage priorities, and deliver results in fast-paced, highly regulated environments.
Familiarity with MLOps, CI/CD, and cloud-based AI infrastructure.
Knowledge of Agile delivery methodologies and experience working within cross-functional product teams.
Experience working within financial services, banking, risk, compliance, or other highly regulated industries is a plus.
Knowledge of Responsible AI, Model Risk Management, SR 11-7, OSFI E-23, or related governance frameworks is a plus.
Commitment to BMO’s values of inclusion, integrity, and responsible innovation.

Education

Bachelor’s degree in computer science, Information Systems, Data Analytics, Statistics, Engineering, Mathematics, Business Analytics, or a related quantitative field.
Master’s degree in data science, Analytics, Computer Science, Information Management, Business Administration, or a related field is preferred.
Relevant certifications in Data Management, Cloud Platforms (Azure/AWS), Analytics, AI, or Data Governance are considered an asset.

Salary:

$105,000.00 - $215,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Apply About employer

More about this job

Responsibilities

The Senior Manager will lead the ingestion, integration, and operationalization of complex data for AI and machine learning applications. They will collaborate with cross-functional teams to build scalable data pipelines and ensure adherence to enterprise governance and security standards.

Requirements

Candidates must have 8-10 years of experience in data engineering or analytics with at least 3 years in a technical delivery leadership role. Proficiency in SQL, Python, and cloud-based data platforms is required, along with strong stakeholder management and communication skills.

Skills

Data engineering
Python
SQL
Cloud platforms
Data integration
ETL/ELT
Generative AI
Machine learning
Data governance
Stakeholder management
Technical leadership
Azure data factory
Azure AI search
RAG
Data modeling
API development

Benefits

Health insurance
Tuition reimbursement
Accident insurance
Life insurance
Retirement savings plans
Performance-based incentives
Discretionary bonuses

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Applied AI
Data Ingestion
Data Integration
Cloud-native
Generative AI
RAG
Python
SQL
Azure Data Factory
Azure AI Search
ETL
ELT
Data Governance
Model Risk Management
MLOps
CI/CD
Agile
Data Modeling
Multimodal Data
Vector Databases
REST APIs
JSON
XML
Data Cataloging
Metadata Management
Enterprise Data
Business Intelligence
Data Quality
Technical Leadership

Report this job