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Added 23 mins ago
HM
Maintenance Supervisor - FIFO from Western Canada
Hecla Mining
Whitehorse, YT · Prince George, BC · Vancouver, BC · Elsa, YT · Edmonton, AB · Calgary, AB
- Full-time
Develop safe work procedures and provide technical/operational input into maintenance procedures and systems
Added 53 mins ago
QI
Staff ASIC Verification Engineer, Low Power AI
Qualcomm Innovation Center, Inc.
Markham, ON
- Full-time
Provide technical supervision to other engineers and have the ability to lead by example
Added 53 mins ago
AI
Manager, Financial Reporting
AutoCanada Inc.
Edmonton, AB
- Full-time
Experience coordinating external audits and preparing technical accounting analyses.
Added 1 hour ago
Early Careers Recruiter
Moment Energy
Surrey, BC
We’re looking for an Early Careers Recruiter to lead our student hiring program at Moment Energy. This role will manage co-op recruitment each term, build relationships with universities…
Added 1 hour ago
PH
Operations Manager, ICI Buildings - Permanent - 4282
Parker Huggett - A Division of LRO Staffing
Toronto, ON
- Full-time
…secure federal projects, often several at once, at a scale and technical complexity that keeps the best people interested. You are not boxed into one sector or one project type. You get the…
Added 1 hour ago
ZT
Talent Acquisition Specialist
Zaber Technologies
Vancouver, BC
- Full-time
Zaber Technologies is looking for a highly organised and personable Recruiter to find new Zaberians and support hiring teams with technical and non-technical roles.
Added 1 hour ago
Bilingual Advisor, System Integration
Bell
Toronto, ON
We are seeking candidates that have technical solution integration experience to join our team. The ideal candidate would have experience in supporting contact centre solutions or have…
Added 2 hours ago
ZT
Talent Acquisition Specialist
Zaber Technologies
Vancouver, BC · Greater Vancouver, BC
- $29 to $45 CAD / hour
- Full-time
Zaber Technologies is looking for a highly organised and personable Recruiter to find new Zaberians and support hiring teams with technical and non-technical roles.
Added 2 hours ago
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Senior Manager, AI Strategy & Product Management
BMO
Toronto, ON · FCP
- Full-time
The successful candidate will bring structured problem solving, strong business judgment, technical fluency in modern AI capabilities, and a proven ability to move from strategy through…
Added 2 hours ago
Senior Backend Engineer II - Patient Experience
Prenuvo
Vancouver, BC
Own the communications platform: Own the patient communications platform end to end, from design through rollout, including service architecture, on-call standards, and technical roadmap.
Added 2 hours ago
F
H.E.T - Large Engine Specific
Finning
Calgary, AB
- Full-time
Complete technical documentation (service reports, warranty, crossover notes)
Added 2 hours ago
HB
Senior Specialist, Data Loss Prevention
HomeEquity Bank
Toronto, ON
- Full-time
The Senior Specialist, Data Loss Prevention is the hands on technical authority behind our DLP and data security capability. The role is responsible for the configuration, tuning, and…
Added 3 hours ago
B
Senior Manager, AI Strategy & Product Management
BMO
Toronto, ON
- Full-time
The successful candidate will bring structured problem solving, strong business judgment, technical fluency in modern AI capabilities, and a proven ability to move from strategy through…
Added 4 hours ago
C
Technical Architect
CGI
Halifax, NS
- Full-time
CGI is seeking Technical Architects to support the design and evaluation of technology solutions for a project based in Halifax, Nova Scotia.
Added 4 hours ago
C
QA Automation Engineering – UI & API
CGI
Toronto, ON
- Full-time
Ability to work effectively with geographically distributed technical and business teams.
Added 4 hours ago
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Product Marketing Manager
MaintainX (An Autodesk Company)
Remote, Canada
- Full-time
- Remote
Shape messaging, positioning and naming with your product counterpart so technical capabilities land as clear value for both the buyer and the frontline technician.
Added 4 hours ago
SH
Performance Engineering Assistant Co-op
Siemens Healthineers
Ottawa, ON
- Full-time
Acquires further qualification for a Bachelor's degree, and gathers respective working experience in different technical fields of expertise, in the course of a respective assignment.
Added 4 hours ago
Senior Technical Recruiter, Infrastructure
Robinhood
Toronto, ON
As a Senior Technical Recruiter, you’ll own full-cycle recruiting across a range of specialized engineering roles. You’ll partner with hiring managers to define what great looks like,…
Added 4 hours ago
IG
IT Recruiter
Insight Global
Toronto, ON
- Full-time
We are seeking a highly motivated IT Recruiter with experience recruiting technology professionals across Canada and Latin America. The ideal candidate has a strong understanding of the…
Added 4 hours ago
A
Talent Acquisition Specialist
Altis
Toronto, ON · North York, ON
- $43 to $49 CAD / hour
- Contract
…moving? We're looking for a Talent Acquisition Specialist / Recruiter to join an established engineering consulting organization during an exciting period of hiring activity. You'll support…
Added 4 hours ago
T
Data Scientist II
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 4 hours ago
T
Intern/ Co-op Winter 2027
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 4 hours ago
Product Manager
Altice USA
Toronto, ON
Demonstrated ability to facilitate communications both technical and non-technical, across functional teams
Added 4 hours ago
B
Branch Manager
BMO
Toronto, ON
- Full-time
Provides technical training and support to branch employees to maintain operational and sales effectiveness and recommends improvements.
Added 4 hours ago
B
Assistant Branch Manager
BMO
Toronto, ON
- Full-time
Provides technical training and support to branch employees to maintain operational and sales effectiveness and recommends improvements.

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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