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Data Enablement Jobs in Quebec (NOW HIRING)

Data-informed approach to adoption: experience defining KPIs, running pulse checks, gathering frontline feedback, and iterating enablement and communications based on insights. * AI fluency with the ...

Data-informed approach to adoption: experience defining KPIs, running pulse checks, gathering frontline feedback, and iterating enablement and communications based on insights. * AI fluency with the ...

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Data Enablement information

How does a data enablement professional typically collaborate with other departments to drive data-driven decision-making?

Data Enablement professionals work closely with departments such as marketing, finance, operations, and IT to ensure that accurate, accessible data informs strategic decisions. They often facilitate data literacy training, help teams define data requirements, and establish efficient data pipelines. Collaboration is key—regular meetings, workshops, and cross-functional projects are common to align data initiatives with business goals. This role also involves translating complex data concepts into actionable insights for non-technical stakeholders, fostering a culture of data-driven decision-making throughout the organization.

What are the key skills and qualifications needed to thrive in data enablement, and why are they important?

To thrive in Data Enablement, you need strong analytical skills, a solid understanding of data management principles, and experience with data governance, often supported by a degree in data science, information technology, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), data integration platforms, and database systems are commonly required, along with certifications like CDMP (Certified Data Management Professional). Excellent communication, collaboration, and problem-solving skills help you translate data insights into actionable business strategies and foster data literacy across teams. These competencies are crucial for ensuring high-quality, accessible data that drives informed decision-making and organizational growth.

What is the difference between Data Enablement vs Data Analyst?

AspectData EnablementData Analyst
Primary FocusProviding tools, platforms, and infrastructure to empower data usersAnalyzing data to generate insights and reports
Skills & CertificationsData management, platform administration, data governanceStatistical analysis, SQL, data visualization tools
Work EnvironmentIT teams, data platforms, cross-functional teamsBusiness units, analytics teams, reporting environments
Employer & Industry UsageTech companies, large enterprises, data-driven organizationsMarketing, finance, operations departments across industries

Data Enablement focuses on building and maintaining the infrastructure and tools that allow organizations to access and utilize data effectively. In contrast, Data Analysts interpret and analyze data to provide actionable insights. While both roles work with data, Data Enablement is more technical and infrastructure-oriented, whereas Data Analysts are more focused on analysis and reporting.

What is data enablement?

Data enablement is the process of making data accessible, usable, and valuable across an organization. It involves implementing tools, processes, and strategies that empower employees to access, analyze, and act on data efficiently. The goal of data enablement is to break down data silos, improve data literacy, and support better decision-making by ensuring the right people have the right data at the right time.
What job categories do people searching Data Enablement jobs in Quebec look for? The top searched job categories for Data Enablement jobs in Quebec are:
Infographic showing various Data Enablement job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Manager, Analytics and Data Enablement

Allstate

Quebec, QC • Hybrid

Full-time

Retirement

Posted 7 days ago


Allstate Insurance rating

7.5

Company rating: 7.5 out of 10

Based on 566 frontline employees who took The Breakroom Quiz

220th of 306 rated insurance


Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description

Who is Allstate:
Allstate Insurance Company of Canada is a leading home and auto insurer focused on providing its customers prevention and protection products and services for every stage of life. Serving Canadians since 1953, Allstate strives to reassure both customers and employees with its "You're in Good Hands" promise and is proud to have been named a Best Employer in Canada for nine consecutive years. Allstate is committed to making a positive difference in the communities in which itoperatesthrough partnerships with charitable organizations, employeegivingand volunteerism. To learn more, visit www.allstate.ca. For safety tips and advice, visitwww.goodhandsadvice.ca.

Through our Employee Value Proposition, we have worked hard to develop and nurture a culture where employees feel valued, experience personal growth, have careeroptionsandtruly enjoythe work they do.

Role Designation:Hybrid

Benefits to joining Allstate

  • Flexible Work Arrangements.
  • Employee discounts (15% on auto and property insurance, plus many other products and services).
  • Good Office program (receive up to $400 back afterpurchasingoffice equipment).
  • Student Loan Payment Matching Program for Government Student loans.
  • Comprehensive Retirement Savings Program withemployer matchedcontributions.
  • Annual Wellness allowance to support employees with improving health and wellbeing.
  • Personal days.
  • Tuition Reimbursement.
  • Working within the community and giving back.

Job description:

The Manager, Analytics & Data Enablement is responsible for leading a team that delivers trusted, analytics-ready data assets and self-service data capabilities that enable business reporting, advanced analytics, and informed decision-making across the organization. The role plays a critical leadership position in Allstate Canada Group (ACG)'s data modernization journey, overseeing the transition of enterprise analytics platforms and data assets to Microsoft Fabric, including the modernization of key actuarial and analytical data environments.

Working closely with business stakeholders, analytics teams, data engineers, and technology partners, this leader ensures data is governed, scalable, and accessible while establishing data standards, enabling self-service analytics, and accelerating the organization's adoption of modern cloud-based analytics capabilities. The Manager is accountable for delivering high-quality curated datasets, supporting enterprise data governance, and developing a high-performing team focused on innovation, automation, and continuous improvement.

Accountabilities:

Leadership & Team Development

  • Lead, coach, and develop a team of analytics and data professionals responsible for enterprise data enablement.
  • Establish clear priorities, objectives, and delivery roadmaps aligned with organizational goals.
  • Foster a culture of collaboration, continuous learning, innovation, and accountability.
  • Build and maintain capabilities in Microsoft Fabric, modern analytics platforms, cloud technologies, and data governance practices.

Microsoft Fabric Transformation

  • Lead the migration and modernization of analytical data assets, processes, and reporting capabilities into Microsoft Fabric.
  • Oversee the evolution of enterprise data architecture, including curated data layers, semantic models, and self-service analytics capabilities.
  • Partner with technology teams to ensure scalable, secure, and governed implementation of Fabric capabilities.
  • Drive adoption of modern analytics tools, automation, AI-enabled capabilities, and cloud-native data practices

Data Governance & Quality

  • Establish and maintain data standards, governance practices, and documentation requirements.
  • Partner with business stakeholders to define trusted business metrics, KPI standards, and critical data elements.
  • Promote data lineage, quality controls, metadata management, and stewardship practices.
  • Ensure enterprise data assets are reliable, secure, and aligned with regulatory and business requirements

Stakeholder Enablement & Service Delivery

  • Build strong relationships with actuarial, finance, product, claims, underwriting, marketing, and other business partners.
  • Deliver high-quality data products and services that support reporting, analytics, and strategic decision-making.
  • Enable self-service analytics by providing curated datasets, semantic models, and governed access to data assets.
  • Communicate roadmaps, priorities, risks, and progress to senior leadership and stakeholders.

Continuous Improvement & Digital Transformation

  • Drive automation, standardization, and simplification of data processes
  • Identify opportunities to improve data quality, timeliness, and operational efficiency
  • Contribute to the evolution of the data architecture and target-state solutions

Qualifications:

Experience

  • Experience in data analytics, business intelligence, data management, or data engineering.
  • Proven people leadership experience in a manager or senior lead role
  • Hands-on experience with data integration, reconciliation, and controls
  • Strong understanding of insurance processes (claims and/or policy an asset)

Technical & Professional Skills

  • Strong understanding of Microsoft Fabric, Power BI, semantic models, data warehousing, data integration, and modern analytics architectures.
  • Experience working with large-scale analytical data environments and enterprise reporting platforms.
  • Knowledge of SQL and data modeling concepts, including dimensional modeling and curated data layer design.
  • Familiarity with cloud data platforms, automation, AI-enabled analytics capabilities, and modern data engineering practices.
  • Understanding of data governance, data quality, lineage, metadata, and data stewardship principles.
  • Strong project management, prioritization, and stakeholder management skills.

Leadership Competencies

  • Proven ability to lead through organizational and technological change.
  • Strong communication and influencing skills at all organizational levels.
  • Ability to develop talent, build high-performing teams, and foster collaboration across business and technology functions.
  • Strategic thinker with strong execution and delivery focus.

Bonus Qualifications:

  • Insurance industry experience (P&C or Life)
  • Experience in digital transformation or large enterprise data programs

If you are applying for a position open to candidates across Canada, unless otherwise indicated, strong English communication skills are required, as the role involves regular interaction with clients, advisors, or employees across the country.

Allstate Canada Group has policies and practices that provide workplace accommodations. If you require accommodation, please let us know and we will work with you to meet your needs.

#LI-GL1

A propos d'Allstate:
Allstate du Canada, compagnie d'assurance est un chef de file dans le domaine des assurances automobile et habitation; elle offre a ses clients des produits et services de prevention et de protection qui conviennent a toutes les etapes de la vie. Au service des Canadiens depuis 1953, l'entreprise met tout en uvre pour que non seulement ses clients, mais aussi ses employes soient en bonnes mainsMD, comme en fait foi sa presence au palmares des Employeurs de choix au Canada pendant neuf annees de suite. Allstate du Canada tient a contribuer au mieux-etre des communautes dans lesquelles elle exerce ses activites au moyen de partenariats avec des organismes caritatifs et de programmes misant sur la generosite de ses employes. Pour en savoir plus, visitez le www.allstate.ca. Pour connaitre nos conseils en matiere de securite, consultez le blogue Allstate Assurance au blogue.allstate.ca.

A Allstate, nous avons conscience que la qualite de nos produits decoule directement du niveau de satisfaction du personnel a l'egard de l'entreprise. C'est pourquoi nous misons sur le maintien d'une culture ou les employes se sentent valorises et ou ils peuvent poursuivre une carriere passionnante. Notre proposition de valeur aux employes permet ainsi de s'epanouir de facon unique.

Designation du role:hybride

Les avantages offerts par Allstate

  • La flexibilite des modalites de travail;
  • Des rabais d'employe (15% sur les assurances automobile et habitation, ainsi que des rabais sur de nombreux autres produits et services);
  • Le programme Bureau en bonnes mains (jusqu'a 400$ sont octroyes pour se procurer de l'equipement de bureau necessaire a domicile);
  • Un programme de paiement de contrepartie pour le remboursement des prets etudiants aux programmes gouvernementaux;
  • Un regime d'epargne-retraite complet prevoyant des cotisations de contrepartie de l'employeur;
  • Une allocation annuelle couvrant des depenses effectuees pour ameliorer sa sante et son bien-etre;
  • Des conges personnels;
  • Le remboursement de droits de scolarite;
  • Une implication dans la vie communautaire.

Description du poste:

Le directeur ou la directrice, analytique et optimisation orientee donnees, est responsable de la direction d'une equipe qui fournit des actifs de donnees fiables et prets pour l'analytique ainsi que des capacites de donnees en libre-service permettant la communication de rapports, l'analytique avancee et la prise de decisions eclairees a l'echelle de l'organisation. Le ou la titulaire de ce poste de direction jouera un role essentiel dans le parcours de modernisation des donnees du Groupe Allstate du Canada (GAC) en supervisant le passage des plateformes d'analytique d'entreprise et des actifs de donnees vers Microsoft Fabric, ce qui comprend la modernisation des environnements cles de donnees actuarielles et analytiques.

Travaillant en etroite collaboration avec les parties prenantes de l'entreprise, les equipes responsables des travaux d'analytique, les ingenieurs de donnees et les partenaires des Technologies, ce ou cette leader veillera a la gouvernance, a l'evolutivite et a l'accessibilite des donnees tout en etablissant des normes relativement aux donnees, en favorisant le recours au libre-service et en accelerant l'adoption par l'organisation de capacites analytiques infonuagiques modernes. Cette personne sera responsable de fournir des ensembles de donnees selectionnees de haute qualite, de soutenir la gouvernance des donnees d'entreprise et de developper une equipe performante, qui accorde la priorite a l'innovation, a l'automatisation et a l'amelioration continue.

Responsabilites:

Direction et developpement d'equipe

  • Diriger, encadrer et developper une equipe de professionnels de l'analytique et des donnees responsables de l'optimisation des donnees d'entreprise.
  • Etablir avec clarte des priorites, des objectifs et des feuilles de route de livraison alignes sur les objectifs organisationnels.
  • Favoriser une culture axee sur la collaboration, l'apprentissage continu, l'innovation et la responsabilisation.
  • Developper et maintenir des capacites dans Microsoft Fabric, les plateformes analytiques modernes, les technologies infonuagiques et les pratiques de gouvernance des donnees.

Transformation vers Microsoft Fabric

  • Diriger la migration et la modernisation des actifs de donnees analytiques, des processus et des capacites de communication de rapports a Microsoft Fabric.
  • Superviser l'evolution de l'architecture des donnees d'entreprise, y compris les couches de donnees selectionnees, les modeles semantiques et les capacites d'analytique en libre-service.
  • Collaborer avec les equipes des technologies pour assurer une mise en uvre evolutive, securisee et regie des capacites de Fabric.
  • Favoriser l'adoption d'outils analytiques modernes, de l'automatisation, de capacites alimentees par l'IA et de pratiques de donnees natives du nuage.

Gouvernance et qualite des donnees

  • Etablir et maintenir des normes de donnees, des pratiques de gouvernance et des exigences en matiere de documentation.
  • Collaborer avec les intervenants operationnels pour definir des mesures fiables, des normes relatives aux indicateurs cles de rendement et des elements de donnees critiques.
  • Promouvoir la tracabilite des donnees, les controles de qualite, la gestion des metadonnees et les pratiques de gestion responsable.
  • Voir a la fiabilite et a la securite des actifs de donnees de l'entreprise ainsi qu'a leur conformite aux exigences a la reglementation et aux besoins operationnels.

Optimisation orientee intervenants et livraison de service

  • Etablir de relations solides avec les partenaires d'affaires de l'Actuariat, des Finances, des Produits, des Reclamations, de la Souscription, du Marketing et autres.
  • Fournir des produits et services de donnees de haute qualite qui soutiennent la communication de rapports, l'analytique et la prise de decisions strategiques.
  • Optimiser l'analytique en libre-service en fournissant des ensembles de donnees selectionnes, des modeles semantiques et un acces reglemente aux actifs de donnees.
  • Communiquer les feuilles de route, les priorites, les risques et les progres a la haute direction et aux intervenants.

Amelioration continue et transformation numerique

  • Diriger l'automatisation, la normalisation et la simplification des processus de donnees.
  • Cerner des occasions pour ameliorer la qualite ...

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