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Added 1 hour ago
CC
Senior Manager, Salesforce Platform Architecture & Development
Canadian Cancer Society
Toronto, ON · Ottawa, ON · Montreal, QC · Quebec, QC · Prince George, BC · Vancouver, BC · Kelowna, BC · Halifax, NS · St. John's, NL · Calgary, AB
- Full-time
As part of the Salesforce Solutions and CRM Strategy team, you will oversee platform architecture, technical standards, operational excellence, release management, and cross-functional…
Added 1 day ago
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Senior Technology Manager, Loan Servicing Technology
BMO
Toronto, ON · FCP
- Full-time
This role is accountable for technology strategy, platform modernization, operational excellence, production stability, security, scalability, and technology delivery. The successful…
Added 1 day ago
O
Sr. Manager, Product Management
OpenText
Waterloo, ON
- Full-time
OpenText is seeking a Senior Manager of Product Management to lead our multi-tenant OpenText Communications offering, currently represented by Core Communications.
Added 1 day ago
O
Sr. Manager, Product Management
OpenText
Mississauga, ON
- Full-time
OpenText is seeking a Senior Manager of Product Management to lead our multi-tenant OpenText Communications offering, currently represented by Core Communications.
Added 1 day ago
O
Sr. Manager, Product Management
OpenText
Richmond Hill, ON
- Full-time
OpenText is seeking a Senior Manager of Product Management to lead our multi-tenant OpenText Communications offering, currently represented by Core Communications.
Added 1 day ago
M(
Product Marketing Manager
MaintainX (An Autodesk Company)
Remote, Canada
- Full-time
- Remote
MaintainX is a leading mobile-first work execution platform for industrial and frontline teams. More than 13,000 customers, including Duracell, McDonald's, Shell, DHL and Volvo, use…
Added 1 day ago
P
GTM Campaign Manager
Procurify
Remote, Canada
- Full-time
- Remote
Procurify is the agentic procurement platform that helps mid-market organizations get complete control over their spend. We're trusted by hundreds of companies around the world, across…
Added 1 day ago
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Senior Manager, Data Engineer, Applied AI Data Ingestion & Integration
BMO
Toronto, ON · FCP
- Full-time
…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…
Added 1 day ago
T
Data Scientist III
TD
Toronto, ON
- Full-time
Lead Power BI modernization initiatives, working closely with the Power BI Centre of Excellence (COE) and Enablement teams to assess, rationalize, and prioritize legacy reporting assets.…
Added 1 day ago
DC
Administrative Assistant - Reception (Casual)
Dillon Consulting Limited
Toronto, ON
- Part-time
…office setting, maintaining active communication with your team manager via Google Chat and Google…
Added 1 day ago
TC
Senior Vice President, Operating Model, Product & Client Solutions
The Citco Group Limited
Toronto, ON
- Full-time
Data, Reporting & Platform Enablement: led by the Technology, Data & Delivery leader, this area will define Operations requirements for data, reporting and platforms, strengthen data…
Added 1 day ago
SP
Senior Director, Controllership & Operations Transformation
Salesforce Partner Canada
Toronto, ON
- Full-time
…automation strategy. With Agentforce woven into every layer of our platform, our team builds intelligent systems that automate repetitive subledger flows, elevate strategic accounting…
Added 2 days ago
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Manager, Developer Experience & AI Enablement
Eyeline
Vancouver, BC
- $205,000 to $305,000 CAD / year
- Full-time
You will drive the technical strategy and day-to-day delivery for release engineering – leaning on your deep expertise in leading teams to design and deploy robust and frictionless software…
Added 2 days ago
SP
Customer Success Manager - Global Public Sector
Salesforce Partner Canada
Toronto, ON
- Full-time
The Customer Success Manager (CSM) is a versatile expert responsible for ensuring high-value customers who purchase the Signature Success Plan achieve a significant return on their…
Added 2 days ago
S
Customer Success Manager - Global Public Sector
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
The Customer Success Manager (CSM) is a versatile expert responsible for ensuring high-value customers who purchase the Signature Success Plan achieve a significant return on their…
Added 2 days ago
R
Data Engineering Manager
Relay
Remote, Canada
- $207,000 to $253,000 CAD / year
- Full-time
- Remote
Relay's data engineering team has tripled in size, from 4 to 12, and is now splitting into two teams. Analytics Data Engineering works close to the business, building the models, pipelines…
Added 2 days ago
Senior Customer Success Manager (Transformation Advisor), Independent Software Vendor (ISV)
Amazon
Toronto, ON
…company understand the business case for migrating their core platform to AWS, facilitate an alignment session between an ISV's engineering team and AWS Solutions Architecture, or work with…
Added 2 days ago
MANAGER, FINANCE ENABLEMENT, TECHNOLOGY & TRANSFORMATION (HYBRID)
Green Shield Canada
Toronto, ON · Windsor, ON
We are seeking a strategic, technically curious, and execution-oriented Manager, Finance Enablement, Technology & Transformation to modernize how Finance works. This individual contributor…
Added 2 days ago
Lead, Technical Services
MongoDB
Toronto, ON
…growing list but currently include products such as Atlas, Cloud Manager, and Compass. Join our team and be at the forefront of innovation and creativity as we scale cloud deployments for…
Added 2 days ago
Product Operations Manager
Brex
Vancouver, BC
Operations is the backbone of Brex’s mission to power businesses through our Intelligent Finance Platform. We own credit, fraud, money movement, and payments, protecting our customers and…
Added 2 days ago
A
Senior Product Manager, Robot Platforms
Avidbots
Kitchener, ON
- Full-time
We are seeking an experienced Senior Product Manager to work alongside management on the roadmap for the Avidbots cleaning robot platforms - Neo, Neo 2W, and Kas. You will report directly…
Added 2 days ago
W
Senior Data Migration Specialist
WELLSTAR
Remote, Canada
- Full-time
- Remote
Influence product and implementation outcomes. You will bring the voice of Implementation into Product and Engineering conversations, advocating for import capabilities, integrations, and…
Added 2 days ago
PF
Gestionnaire principal·e de produit | Senior Product Manager , APM & GenAI
Power Factors
Montreal, QC
- Full-time
Added 2 days ago
PF
Gestionnaire principal·e de produit | Senior Product Manager , APM & GenAI
Power Factors
Remote, Canada
- Remote
Added 3 days ago
DC
Civil Land Development Engineer
Dillon Consulting Limited
Winnipeg, MB
- Full-time
Organize and lead municipal engineering designs (use of Civil 3D and other land development software is an asset but not required).

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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