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Added 6 days ago
SW
MaAnalytics, GWM -nager, CWM
Scotia Wealth Management
Toronto, ON
- Full-time
Experience with Python, R, or other analytical programming languages.
Added 6 days ago
TG
Stage d'été – Développeur-analyste ou développeuse-analyste, Stratégie et perspectives sur le marché
TMX Group
Toronto, ON
- Full-time
Expérience ou intérêt à l’égard de l’utilisation d’un cadre de travail moderne JavaScript (comme React, Angular ou Vue) et de l’écriture de code en JavaScript et en Python
Added 6 days ago
SG
Prime Services Risk Advisor
Societe Generale
Montreal, QC
- Full-time
Ensure that the risk limits remain in line with:
Added 6 days ago
SG
Programmer Analyst - Java and PL/SQL
Societe Generale
Montreal, QC
- Full-time
…transformation. GBTO differentiates itself from competitors with the pace of the agile transformation delivered, spreading the technology and data culture, shortening the decision-making…
Added 6 days ago
B
Software Engineer II
Beanfield
Toronto, ON
- $80,000 to $110,000 CAD / year
- Full-time
…enhancing backend systems, APIs, and data processing tools using Python and modern web frameworks. The Software Engineer will collaborate with product managers and other team members to…
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PC
AML Analytics Manager
PwC Canada
Toronto, ON
- Full-time
Experience with analytical tools such as SQL, Python, Pyspark, or similar technologies.
Added 6 days ago
IS
Senior QA
InfiCare Staffing
Toronto, ON
- Contract
You will use Python to build automation frameworks that simulate thousands of real-time trades, ensuring our systems can handle market volatility. You will use complex SQL to deep-dive into…
Added 6 days ago
F
Software Consultant
FireFlink
Toronto, ON
- Full-time
Hands-on experience with Java, Spring Boot, Python, J2EE, object-oriented design, design patterns, Maven, Git, CI/CD pipelines, and Agile delivery practices.
Added 6 days ago
MT
Data Engineer
MSR Technology Group
Toronto, ON
- Contract
Expertise in PySpark, Python, SQL, Delta Lake, and ETL/ELT pipeline development.
Added 6 days ago
C
Senior Software Developer
Cavtera
Ottawa, ON · Kanata, ON
- Full-time
As a Senior Software Developer, you’ll be a technical leader within an engagement team, responsible for the architecture and delivery of complex digital solutions on Palantir Foundry.…
Added 6 days ago
AC
Data Engineer
Amphenol Communications Solutions
Markham, ON
- Full-time
…data platform components, pipelines, and integrations. Strong SQL and Python programming, automated testing, and disciplined software engineering are essential. Working with architecture,…
Added 6 days ago
A
IT Technical Developer (IBM Maximo)
Airswift
Calgary, AB
- Contract
Type: Contract opportunity (12 months with possibility for extension)
Added 6 days ago
H
Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Experience with writing complex SQL and PySpark queries to extract and integrate data from multiple database sources
Added 6 days ago
W
Software Engineer I
Wayfair
Toronto, ON
- $120,000 to $130,000 CAD / year
- Full-time
Experience or exposure to SQL, Java, and Python
Added 6 days ago
U
Scientifique Principale des Données-Ingénieur/Staff Data Scientist- Eng
UKG
Montreal, QC
- Full-time
Expérience des outils Big Data, des bases de données et des architectures évolutives (SQL, Spark, Hadoop, etc.).
Added 6 days ago
A
AI Developer
Apptad
Montreal, QC
- Contract
Strong proficiency in at least one backend language - Java (with Spring Boot) and/or Python (FastAPI / Flask). We are open to either.
Added 6 days ago
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Applied AI Engineer
Luxoft
Canada
- Full-time
…into 2028. Our stack: Ruby on Rails, Node.js/TypeScript and Python services, PostgreSQL, Snowflake and AWS. We're looking for an applied AI engineer to build AI with real, measurable…
Added 6 days ago
FS
AI Engineer
Futran Solutions
Mississauga, ON
- Full-time
Strong Python development with FastAPI or Flask.
Added 6 days ago
CF
Data Architect & Analytics Team Lead
Canadian Football League
Toronto, ON
- Full-time
Work with modern cloud and data technologies, including Snowflake, dbt, Python, SQL Server, Power BI, cloud data services, and ETL/ELT platforms.
Added 6 days ago
B
Database Administrator II
Beanfield
Toronto, ON
- $80,000 to $100,000 CAD / year
- Full-time
With 500+ employees and an entrepreneurial mindset, we move fast, think creatively, and stay connected to the people who make Beanfield what it is. If you thrive in a collaborative,…
Added 6 days ago
RJ
Senior Manager, Marketing Intelligence and Effectiveness
Raymond James Ltd.
Toronto, ON
- Full-time
Proficiency in data analysis tools such as SQL, Python, R, or similar.
Added 6 days ago
P
Associate Data Engineer
Punt
Vancouver, BC
- $80,000 to $100,000 CAD / year
- Full-time
Above all, we value strong SQL fundamentals, working Python proficiency, and the instinct to double-check your output for correctness before someone else has to.
Added 6 days ago
B
Data Integrity Lead
BGIS
Toronto, ON
- Full-time
Use technical tools and scripting (e.g., SQL, Python, PowerShell, or similar) to interrogate datasets, automate recurring quality checks, and flag anomalies.
Added 6 days ago
T
Site Reliability Engineer Lead
TD
Toronto, ON
- Full-time
Experience with SQL Server platforms, high-availability technologies, and disaster recovery.
Added 6 days ago
IF
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BGIS

Data Integrity Lead

Toronto, ON, Canada

This is a regular, full-time position with a salary range of $96,322 - $120,402 per annum. · Full-time

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Job details

Pay: This is a regular, full-time position with a salary range of $96,322 - $120,402 per annum.
Job type: Full-time
Apply by: Nov 27, 2026
Experience: 5+ years of experience working in data governance, data quality, data controls, or operational data management in an enterprise environment.
Posting language: English
Posted: Oct 28, 2026

Original job description

Summary

JOB DESCRIPTION

The Data Integrity Lead is the Quality Assurance (QA) and Data Governance owner for the integrity and assurance of all operational and planning data used across the CIBC Integrated Facilities Management (IFM) portfolio. The role is accountable for ensuring that data is accurate, complete, consistent, and decision‑ready, supporting effective governance, reporting, performance management, compliance, and risk reduction.

This position applies BGIS’s established data quality and governance framework and embeds data validation, controls, and automated quality checks directly into frontline and back‑office workflows. In addition to strong governance and assurance accountability, the role brings hands‑on technical capability, using scripting and automation to identify defects, enforce standards, and reduce manual quality checks.

The Data Integrity Lead partners closely with Facilities Management, Project Delivery, Capital Planning, Lease Administration, Finance, and Portfolio teams to ensure that data structures, terminology, and validation requirements are consistently applied across the account. The role operates as a client‑facing governance and assurance function, providing independent data quality oversight while enabling automation and future AI‑driven controls.

Key Duties & Responsibilities

Data Governance & Quality Assurance

Act as the Data Quality Assurance (QA) owner for all operational and planning data across the CIBC IFM portfolio.
Apply BGIS’s established data quality and governance standards, ensuring consistent implementation across systems and workflows (this role does not design enterprise frameworks).
Define, implement, and monitor data validation checkpoints, ownership rules, and exception‑handling processes across service lines.
Conduct data readiness and quality assessments to support governance forums, KPI reporting, audits, and executive decision‑making.
Proactively identify and prevent data defects (e.g., duplicate assets, inaccurate location data, mis‑scoped projects, incomplete or inconsistent fields) before they enter FM, Project, or Capital Planning workflows.
Produce data quality scorecards, defect trend analysis, and remediation recommendations.

Technical Data Quality Automation & Controls

Design, develop, and maintain automated data quality checks, validation scripts, and exception reports to reduce manual QA effort and improve consistency.
Use technical tools and scripting (e.g., SQL, Python, PowerShell, or similar) to interrogate datasets, automate recurring quality checks, and flag anomalies.
Build lightweight automation to enforce required fields, validate hierarchies, and ensure compliance with data standards at key ingestion and handoff points.
Partner with BI, IT, and system owners to prototype and operationalize automated controls, without owning platforms or analytics solutions.
Document automation logic, validation rules, and controls to ensure transparency, repeatability, and auditability.

Cross‑Functional Integration & Enablement

Work closely with Facilities Management, Project Delivery, Capital Planning, Lease Administration, Workplace, and Finance teams to embed data quality expectations into operational and planning processes.
Align terminology, data definitions, and required data attributes across service lines (e.g., location hierarchies, asset identifiers, project classifications).
Support teams in understanding upstream and downstream data dependencies and their impact on reporting, planning, and governance outcomes.
Act as a facilitator and advisor to promote shared accountability for data integrity across the account.

Performance, Reporting & Governance Support

Provide data assurance for KPI packages, dashboards, governance decks, and audit‑ready reporting.
Validate the integrity of data feeding operational, financial, and performance reporting, ensuring outputs are defensible and traceable.
Identify and communicate data‑related risks that may affect decision quality or governance outcomes, with recommended corrective actions.
Support governance, compliance, and performance management processes through reliable, decision‑ready data.

Continuous Improvement & Digital Adoption

Embed data quality controls, automation, and validation logic into FM, Project, and Capital Planning workflows to strengthen “quality at source.”
Partner with field and back‑office teams to address data quality issues at the point of capture, recognizing that desktop cleanup alone is insufficient.
Identify opportunities to simplify data entry, reduce rework, and improve adoption of digital tools through automation and clearer standards.
Contribute to the evolution of data quality and governance practices in support of future AI‑enabled and automated controls.

Knowledge & Skills

University degree in Information Management, Engineering, Analytics, Computer Science, or a related discipline.
5+ years of experience working in data governance, data quality, data controls, or operational data management in an enterprise environment.
Strong understanding of data quality principles including accuracy, completeness, consistency, timeliness, validity, and traceability, and how to enforce them through controls and validation logic.
Hands‑on experience using technical tools and scripting (e.g., SQL, Python, PowerShell, or equivalent) to interrogate datasets, automate data quality checks, and produce exception reporting.
Experience developing automated data validation rules, quality checks, and defect detection logic at data ingestion and handoff points.
Working knowledge of enterprise operational systems and data flows (e.g., CMMS, project delivery systems, capital planning tools) and how upstream data quality impacts downstream reporting and decision‑making.
Familiarity with data management concepts such as metadata, master data, data lineage, and exception handling, with the ability to apply them in practical, operational contexts.
Experience collaborating with BI, analytics, and IT teams to support data quality and control automation, without assuming responsibility for data architecture, platforms, or dashboard development.
Ability to analyze complex data issues, identify root causes, and design effective remediation approaches that prevent recurrence rather than relying on manual cleanup.
Strong understanding of governance, audit readiness, compliance, and risk management requirements as they relate to data integrity and reporting defensibility.
Experience embedding data quality expectations into business processes and workflows, including field and operational activities.
Commitment to continuous improvement, including the use of automation and emerging technologies to reduce manual QA effort and support future AI‑enabled data quality controls.
Strong verbal and written communication skills, with the ability to explain data issues, controls, and risks to both technical and non‑technical stakeholders.
Highly organized, detail‑oriented, and capable of operating independently while influencing cross‑functional teams without direct authority.

Licenses and/or Professional Accreditation

Certification or formal training in Data Governance, Data Quality, or Information Management considered an asset (e.g., CDMP, DGSP, DAMA‑aligned certifications).
Professional certification in analytics, data management, or automation tools (e.g., SQL, Python, data engineering or process automation certifications) considered an asset.
Certification or demonstrated knowledge of governance, risk, or quality management frameworks (e.g., ISO‑aligned quality management, audit, or compliance training) considered an asset.
Certification related to process improvement or controls (e.g., Lean, Six Sigma, or similar) considered an asset.
Facilities, real estate, or capital‑program related certifications are not required but considered beneficial where they support understanding of operational data environments.

This is a regular, full-time position with a salary range of $96,322 - $120,402 per annum. The starting salary will be based on the successful candidate’s competencies, including but not limited to experience, education and performance related to this role.

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More about this job

Responsibilities

Own data quality assurance and governance for operational and planning data across the facilities management portfolio, applying established standards and embedding validation controls into workflows. Automate data checks, report defects and risks, and work with cross-functional teams to ensure data is reliable, traceable, and ready for reporting and decision-making.

Requirements

Requires a university degree in information management, engineering, analytics, computer science, or a related discipline, and at least five years of experience in data governance, data quality, data controls, or operational data management. Candidates should have hands-on scripting experience, strong knowledge of data quality and governance practices, and the ability to automate controls and collaborate with technical and operational stakeholders.

Skills

Data Governance
Data Quality Assurance
Data Validation
SQL
Python
PowerShell
Data Quality Automation
Exception Reporting
Root Cause Analysis
Data Lineage
Master Data Management
Metadata Management
Audit Readiness
Risk Management
Cross-Functional Collaboration
Process Improvement

Visa sponsorship

Not detected in the job text

Keywords

Data Governance
Data Quality Assurance
Data Validation
SQL
Python
PowerShell
Automation
Exception Reporting
Data Quality Scorecards
Data Defect Detection
Master Data
Metadata
Data Lineage
Exception Handling
CMMS
Project Delivery Systems
Capital Planning
Business Intelligence
Audit Readiness
Compliance
Risk Management
KPI Reporting
Facilities Management
Lease Administration
Quality At Source
AI-Enabled Controls
CDMP
DGSP
DAMA
Lean Six Sigma

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