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Kamik 1898 . QC-CA

Gestionnaire principal(e), Intelligence d'affaires / Senior Manager, Business Intelligence

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English · French
Posted: Sep 28, 2026

Original job description

English section of this bilingual listing.

The Senior Manager, Business Intelligence is responsible for defining and leading Kamik's Business Intelligence strategy to enable data-driven decision-making across the organization. The role provides leadership for analytics, reporting, data governance, and business intelligence platforms while ensuring the integrity, quality, and accessibility of enterprise data. Working closely with Information Technology, Sales, Operations, Supply Chain, Finance, Marketing, the Director transforms data into actionable insights that drive operational excellence, innovation, and sustainable business growth.

Responsibilities

Business Intelligence Strategy

Define and execute the company's Business Intelligence strategy in alignment with corporate objectives.
Foster a data-driven culture that supports informed decision-making across the organization.
Identify opportunities to maximize the business value of enterprise data.

Data Analytics & Business Performance

Oversee the development, maintenance, and continuous improvement of dashboards, key performance indicators (KPIs), and management reporting.
Analyze business trends, risks, and opportunities to provide strategic recommendations to senior leadership.
Develop analytical solutions that improve operational efficiency and business performance.

Data Governance

Ensure the quality, integrity, security, and governance of enterprise data.
Develop standards, policies, and best practices related to data management and reporting.
Promote consistent and reliable use of data throughout the organization.

Digital Transformation & Innovation

Support digital transformation, automation, and continuous improvement initiatives.
Partner with Information Technology to optimize ERP environments, data warehouses, BI platforms, and enterprise data architecture.
Evaluate emerging technologies and analytical tools to strengthen the organization's decision-making capabilities.

Organizational Leadership

Establish priorities for BI initiatives and ensure successful delivery within scope, budget, and business objectives.
Foster a culture of collaboration, innovation, and continuous improvement

Qualifications

Education

Bachelor's degree in Business Intelligence, Computer Science, Business Administration, Mathematics, Statistics, Engineering, or a related field.
Master's degree in a relevant discipline is considered an asset.

Experience

Minimum of five (5) years of progressive experience in Business Intelligence, Data Analytics, or Data Management, including several years specifically in a Power BI environment
Proven experience within a manufacturing, distribution, or retail environment.
Demonstrated success leading analytics initiatives and digital transformation projects.

Leadership

Proven ability to work with cross-fuctional multidisciplinary teams.
Strong project management, change management, and continuous improvement capabilities.
Ability to influence executive decision-making through data and business insights.

Key Skills

Advanced knowledge of other Business Intelligence platforms an asset
Strong understanding of ERP systems, relational databases, ETL processes, and data warehouse architecture.
Excellent analytical thinking, strategic planning, and problem-solving abilities.
Outstanding communication skills with the ability to translate complex technical concepts into business insights.
Fluency in both French and English, spoken and written.

Read the full bilingual original

Sommaire du poste

Le/la Gestionnaire principal(e), Intelligence d’affaires est responsable de définir et de diriger la stratégie d’intelligence d’affaires de Kamik afin de favoriser une prise de décision fondée sur les données à l’échelle de l’organisation. Cette personne assure le leadership en matière d’analytique, de production de rapports, de gouvernance des données et de plateformes d’intelligence d’affaires, tout en veillant à l’intégrité, à la qualité et à l’accessibilité des données de l’entreprise. En collaboration étroite avec les équipes des Technologies de l’information, des Ventes, des Opérations, de la Chaîne d’approvisionnement, des Finances et du Marketing, le/la titulaire du poste transforme les données en informations exploitables qui favorisent l’excellence opérationnelle, l’innovation et une croissance durable de l’entreprise.

Responsabilités

Stratégie d’intelligence d’affaires

Définir et mettre en œuvre la stratégie d’intelligence d’affaires de l’entreprise, en cohérence avec les objectifs corporatifs.
Favoriser une culture axée sur les données qui soutient une prise de décision éclairée à l’échelle de l’organisation.
Identifier les occasions de maximiser la valeur commerciale des données de l’entreprise.
Analytique des données et performance d’affaires
Superviser le développement, la maintenance et l’amélioration continue des tableaux de bord, des indicateurs clés de performance (KPI) et des rapports de gestion.
Analyser les tendances, les risques et les occasions d’affaires afin de formuler des recommandations stratégiques à la haute direction.
Développer des solutions analytiques permettant d’améliorer l’efficacité opérationnelle et la performance de l’entreprise.

Gouvernance des données

Assurer la qualité, l’intégrité, la sécurité et la gouvernance des données de l’entreprise.
Élaborer des normes, des politiques et des pratiques exemplaires en matière de gestion des données et de production de rapports.
Promouvoir une utilisation cohérente et fiable des données au sein de l’organisation.

Transformation numérique et innovation

Soutenir les initiatives de transformation numérique, d’automatisation et d’amélioration continue.
Collaborer avec les Technologies de l’information afin d’optimiser les environnements ERP, les entrepôts de données, les plateformes d’intelligence d’affaires et l’architecture de données de l’entreprise.
Évaluer les nouvelles technologies et les outils d’analyse afin de renforcer les capacités de l’organisation en matière de prise de décision.

Leadership organisationnel

Établir les priorités des initiatives d’intelligence d’affaires et assurer leur réalisation dans le respect de la portée, du budget et des objectifs d’affaires.
Favoriser une culture de collaboration, d’innovation et d’amélioration continue.

Qualifications

Formation

Baccalauréat en intelligence d’affaires, informatique, administration des affaires, mathématiques, statistiques, génie ou dans un domaine connexe.
Une maîtrise dans une discipline pertinente constitue un atout.

Expérience

Minimum de cinq (5) années d’expérience progressive en intelligence d’affaires, en analytique des données ou en gestion des données, dont plusieurs années spécifiquement dans un environnement Power BI.
Expérience éprouvée dans un environnement manufacturier, de distribution ou de commerce de détail.
Expérience démontrée dans la direction d’initiatives analytiques et de projets de transformation numérique.

Leadership

Capacité démontrée à travailler avec des équipes multidisciplinaires et interfonctionnelles.
Solides compétences en gestion de projets, en gestion du changement et en amélioration continue.
Capacité à influencer la prise de décision de la haute direction grâce aux données et aux informations d’affaires.

Compétences clés

Une connaissance avancée d’autres plateformes d’intelligence d’affaires constitue un atout.
Solide compréhension des systèmes ERP, des bases de données relationnelles, des processus ETL et de l’architecture des entrepôts de données.
Excellentes capacités d’analyse, de planification stratégique et de résolution de problèmes.
Excellentes aptitudes en communication, avec la capacité de traduire des concepts techniques complexes en informations pertinentes pour les affaires.
Maîtrise du français et de l’anglais, à l’oral et à l’écrit.

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Position Summary

Responsibilities

Business Intelligence Strategy

Define and execute the company's Business Intelligence strategy in alignment with corporate objectives.
Foster a data-driven culture that supports informed decision-making across the organization.
Identify opportunities to maximize the business value of enterprise data.

Data Analytics & Business Performance

Oversee the development, maintenance, and continuous improvement of dashboards, key performance indicators (KPIs), and management reporting.
Analyze business trends, risks, and opportunities to provide strategic recommendations to senior leadership.
Develop analytical solutions that improve operational efficiency and business performance.

Data Governance

Ensure the quality, integrity, security, and governance of enterprise data.
Develop standards, policies, and best practices related to data management and reporting.
Promote consistent and reliable use of data throughout the organization.

Digital Transformation & Innovation

Support digital transformation, automation, and continuous improvement initiatives.
Partner with Information Technology to optimize ERP environments, data warehouses, BI platforms, and enterprise data architecture.
Evaluate emerging technologies and analytical tools to strengthen the organization's decision-making capabilities.

Organizational Leadership

Establish priorities for BI initiatives and ensure successful delivery within scope, budget, and business objectives.
Foster a culture of collaboration, innovation, and continuous improvement

Qualifications

Education

Bachelor's degree in Business Intelligence, Computer Science, Business Administration, Mathematics, Statistics, Engineering, or a related field.
Master's degree in a relevant discipline is considered an asset.

Experience

Minimum of five (5) years of progressive experience in Business Intelligence, Data Analytics, or Data Management, including several years specifically in a Power BI environment
Proven experience within a manufacturing, distribution, or retail environment.
Demonstrated success leading analytics initiatives and digital transformation projects.

Leadership

Proven ability to work with cross-fuctional multidisciplinary teams.
Strong project management, change management, and continuous improvement capabilities.
Ability to influence executive decision-making through data and business insights.

Key Skills

Advanced knowledge of other Business Intelligence platforms an asset
Strong understanding of ERP systems, relational databases, ETL processes, and data warehouse architecture.
Excellent analytical thinking, strategic planning, and problem-solving abilities.
Outstanding communication skills with the ability to translate complex technical concepts into business insights.
Fluency in both French and English, spoken and written.

Apply About employer

More about this job

Responsibilities

Define and lead the company’s business intelligence strategy, overseeing analytics, dashboards, reporting, data governance, and BI platforms. Turn enterprise data into actionable insights, support digital transformation and operational improvement, and lead BI initiatives in collaboration with cross-functional teams.

Requirements

Requires a bachelor’s degree in a relevant field and at least five years of progressive experience in business intelligence, data analytics, or data management, including several years using Power BI. Candidates should have experience in manufacturing, distribution, or retail, strong project and change management capabilities, and fluency in written and spoken French and English.

Skills

Business Intelligence Strategy
Power BI
Data Analytics
Data Governance
Data Quality
Dashboard Development
KPI Reporting
ERP Systems
Relational Databases
ETL Processes
Data Warehouse Architecture
Project Management
Change Management
Continuous Improvement
Strategic Planning
Cross-Functional Leadership

Visa sponsorship

Not detected in the job text

Keywords

Business Intelligence
Power BI
Data Analytics
Data Management
Data Governance
Data Quality
Data Security
Dashboards
Key Performance Indicators
Management Reporting
ERP Systems
Data Warehouses
Relational Databases
ETL Processes
Data Architecture
Digital Transformation
Automation
Analytics Platforms
Project Management
Change Management
Continuous Improvement
Operational Excellence
Manufacturing
Distribution
Retail
Cross-Functional Collaboration
Strategic Planning
French
English

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