Manager, Analytics and Data Enablement

AllstateQuebec, QC
CA$115,500 - CA$145,000Hybrid

About The Position

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.

Requirements

  • 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)
  • 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.
  • 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.

Nice To Haves

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

Responsibilities

  • 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.
  • 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
  • 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
  • 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.
  • 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

Benefits

  • 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 after purchasing office equipment).
  • Student Loan Payment Matching Program for Government Student loans.
  • Comprehensive Retirement Savings Program with employer matched contributions.
  • Annual Wellness allowance to support employees with improving health and wellbeing.
  • Personal days.
  • Tuition Reimbursement.
  • Working within the community and giving back.
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