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Added 6 mins ago
R
SCADA Transmission Engineer
Raise
Burnaby, BC
- Full-time
The SCADA Transmission Engineer to join our clients team and play a key role in delivering complex, multi-discipline capital projects. In this role, your primary focus will be delivering…
Added 6 mins ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Toronto, ON
- $96,557 to $128,743 CAD / year
- Full-time
To better position ourselves for success, the Digital Business Platforms group is seeking a Sr Software Engineer to implement the strategic technology vision by building an effective…
Added 6 mins ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Calgary, AB
- $96,557 to $128,743 CAD / year
- Full-time
To better position ourselves for success, the Digital Business Platforms group is seeking a Sr Software Engineer to implement the strategic technology vision by building an effective…
Added 6 mins ago
DC
Ingénieur principal en solutions PLC
Distech Controls
Brossard, QC
- Full-time
Concevoir l'intégration entre les systèmes PLC, SCADA, BMS, DCIM et les plateformes Ignition.
Added 6 mins ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Montreal, QC
- $96,557 to $128,743 CAD / year
- Full-time
To better position ourselves for success, the Digital Business Platforms group is seeking a Sr Software Engineer to implement the strategic technology vision by building an effective…
Added 6 mins ago
PG
Senior Software Developer
PEER Group
Kitchener, ON
- $105,000 to $155,000 CAD / year
- Full-time
…applications used in semiconductor manufacturing equipment integration and factory automation…
Added 6 mins ago
CE
Engineering Specialist Optics
CMC Electronics
Montreal, QC
- Full-time
The technical specialist engineering class 4 works under the supervisor of an engineer or his delegate. Performs a variety of functions associate with the optical, electrical, electronic,…
Added 6 mins ago
IG
Senior Cloud Engineer
Insight Global
Ottawa, ON · Kanata, ON
- $30 to $60 CAD / hour
- Contract
We are seeking a Cloud Engineering Senior Engineer to support the design, development, testing, and deployment of the Telemetry & Observability Platform (TOP). TOP is an enterprise platform…
Added 6 mins ago
FI
Artificial Intelligence Engineer
Flexstaf I.T. Inc.
Canada
- Contract
Integrate AI applications with client systems, APIs, databases, document repositories, and business platforms.
Added 20 mins ago
CG
Ingénieur mécanique principal / Senior Mechanical Engineer
Calian Group
Vaudreuil-Dorion, QC
- Full-time
We are currently seeking a candidate for the position of Senior Mechanical Design Engineer. The successful candidate will lead the design, analysis, development, production, maintenance and…
Added 20 mins ago
OA
Applied AI Engineer - Winnipeg
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We bring at least 2 years of experience in backend engineering, AI automation, or integrating complex systems.
Added 37 mins ago
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Integrations Engineer I (Remote, Canada)
GoCanvas
Remote, Canada
- Full-time
- Remote
The Integrations Engineer I will entail transforming customer requirements into complete solutions - including custom, code-based integrations when pre-built connectors aren't enough - that…
Added 37 mins ago
ZT
Développeur de logiciels, professionnel II/ Software Engineer, Professional II
Zebra Technologies
Montreal, QC · CAN - Montreal, Canada
- Full-time
Added 49 mins ago
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Senior Software Engineer / Member of Technical Staff (MTS)
Akkodis
Brampton, ON
- Contract
We are seeking an experienced Senior Software Engineer / MTS to join a high-performing Robotics & Space Operations team. In this role, you will contribute to the design, implementation,…
Added 49 mins ago
ES
Software Engineer Intern (Summer 2027 - 8-Months - Sports Technology - Undergraduate)
EA SPORTS
Vancouver, BC
- Temporary
…skills to real-world challenges. Reporting to a Senior Software Engineer, you will work in a Hybrid Work Model (3-days per week in office) out of our studio in…
Added 49 mins ago
AC
Lead Customer Project Support Engineer
ALTEN Canada
Markham, ON
- Full-time
…Defense. Automotive, Rail and Transportation to Information Systems and Telecommunications, our unwavering commitment to excellence shaping the future of technology and…
Added 49 mins ago
ES
Client Software Engineer - EA Sports™ FC
EA SPORTS
Vancouver, BC
- Full-time
As a Software Engineer, you will report directly to a Development Director and collaborate closely with producers, designers, artists, and fellow engineers. You will tackle complex…
Added 52 mins ago
LC
Programming Engineer
Linamar Corporation
Guelph, ON
- Full-time
The Programming Engineer is responsible for designing, developing, and supporting software and system solutions that enhance manufacturing and engineering operations. This role owns key…
Added 1 hour ago
M
Electronic Circuit Automation and DevOps Developer/Engineer
MDA
Sainte-Anne-de-Bellevue, QC
- Full-time
As an Electronic Circuit Design Automation and DevOps Engineer, you will provide support to electronics development teams for the design automation of various activities related to the…
Added 1 hour ago
M
Electronic Circuit Automation and DevOps Developer/Engineer
MDA
Sainte-Anne-de-Bellevue, QC
- Full-time
As an Electronic Circuit Design Automation and DevOps Professional/Engineer, you will provide support to electronics development teams for the design automation of various activities…
Added 1 hour ago
RC
Manufacturing Engineer
Randstad Canada
Calgary, AB · Greater Calgary Metropolitan Area
- Full-time
…a hands-on, highly skilled Lead Manufacturing & Sustaining Engineer to bridge the gap between product development, operations, and quality. In this technical leadership role, you will play…
Added 1 hour ago
GU
AI Agentic Systems & Automation Engineer
GenCore Utilities Ltd.
Markham, ON
- $100,000 to $140,000 CAD / year
- Full-time
GenCore Utilities Ltd. is seeking an AI Agentic Systems & Automation Engineer to design, build, and deploy AI solutions that improve engineering, operations, project delivery, and business…
Added 1 hour ago
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Senior Manager, Data Engineer, Applied AI Data Ingestion & Integration
BMO
Toronto, ON · FCP
- Full-time
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…
Added 1 hour ago
KG
Senior Platform Engineer
Kinross Gold Corporation
Toronto, ON
- Full-time
…are seeking a highly technical and hands-on Senior Platform Engineer to drive the evolution of our hybrid infrastructure ecosystem spanning on-premises datacenters, cloud platforms,…
Added 1 hour ago
AI
Flight Software Engineer
Aversan Inc.
Brampton, ON
- $112,000 to $140,000 CAD / year
- Contract
…leading-edge and reliable safety-critical electronics and software systems to the aerospace, defence, and space…

BMO

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

Toronto, ON, Canada
FCP, Canada

$105,000.00 - $215,000.00 · Full-time

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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.

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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

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