Manager, Data Engineering

Intact FC • Montreal, QC

54d • Hybrid

About The Position

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.

Requirements

• 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.

Responsibilities

• 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.

Benefits

• 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)
• 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%
• Employee Share Purchase Plan (ESPP) – with Intact matching 50% of your net shares.
• Opportunity to receive guaranteed income for life via our defined benefit pension plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager