Manager, Data Engineering

Pay at Intact is about much more than just salary.

• Flexible work arrangements and a hybrid work model

• Possibility to purchase up to 5 extra days off per year

• Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more

• Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)

Salary range (but not limited to):

128,300 - 156,800

Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):

15%

As part of our commitment to Win As A Team, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) – with Intact matching 50% of your net shares.

Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.

About the role

We are looking for a manager to lead complex, multi-disciplinary Data Engineering teams to deliver high-impact platform and product outcomes. This role combines strong delivery leadership with deep technical acumen across modern data platforms, analytics engineering, and applied AI/automation.

You will initially lead our in-flight Oracle data warehouse to Snowflake migration. This is not a lift-and-shift. We are refactoring, redesigning data models and pipelines, and modernizing our ecosystem to unlock scalability, performance, cost efficiency, and advanced analytics. We’re looking for a leader who blends strong delivery leadership with deep technical acumen and an enthusiasm for AI enabled accelerators.

What you’ll do here

• Build, develop, and retain high-performing Data Engineering / Software Engineering teams, ensuring the right mix of skills and behaviors.

• Recruit key talent and evolve team composition as program phases and priorities shift.

• Own end-to-end planning and delivery for complex initiatives: discovery, design/refactoring, build, test, release/cutover, and decommissioning as needed.

• Establish scope, milestones, budgets, timelines, dependencies, and risk/issue management; maintain dashboards and KPIs.

• Divide work into achievable tracks with clear roles and responsibilities, balance business needs with individual strengths and aspirations.

• Provide technical leadership to the team, understanding the solutions and propose improvements and adjustments for efficiencies using modern technology.

• Promote responsible AI usage to accelerate code understanding, refactoring, documentation, testing, and analytics—defining standards and guardrails for privacy, security, and validation.

• Build strong relationships with product, architecture, security, finance, and business partners.

• Communicate complex technical concepts and trade-offs clearly to technical and non-technical audiences, document and report progress.

• Ensure governance adherence; proactively escalate risks and drive timely decisions.

• Ensure adoption of best practices across data modeling, coding, version control, testing, observability.

• Embed security and data governance (access controls, classification, privacy/compliance) into platforms and pipelines.

• Promote communities of practice, knowledge sharing, and built-in quality; continually optimize processes and tools.

What you bring to the table

• Bachelor’s degree in information technology/software engineering or equivalent education and experience.

• 10+ years across data engineering/analytics/AI/software engineering, with 5+ years leading large teams and complex initiatives.

• Proven experience leading enterprise data platform programs and migrations between major DWH technologies (e.g., Oracle, Teradata, SQL Server) and modern cloud platforms (AWS, Snowflake, Databricks).

• Up to date with technology advancements and market trends in data platforms, analytics engineering, AI/ML tooling, and cloud services.

• Understanding of:

  Data modeling (dimensional, data vault), orchestration (e.g., Airflow, Control M), CI/CD for data, data quality, and observability.

  Modern data stack

  AI/LLM tools to accelerate development and analysis, with clear validation and governance practices.

• Strong stakeholder management, influence, and communication skills; able to navigate ambiguity and drive cross-functional decisions.

• Track record hiring, coaching, and leading large teams with high engagement, accountability, and inclusion.

• For candidates located in Quebec, bilingualism is required (French and English): Need to interact on a regular basis with colleagues across the country.

• No Canadian work experience required however must be eligible to work in Canada.

#LI-Hybrid

Ce poste jouera un rôle essentiel au sein de notre équipe. | This position will fill an essential role in our team.