Engineering Jobs in Rosemere, QC

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

Located in downtown Montreal, we are a rapidly growing team of people who are passionate about innovation and leading-edge technologies. We focus on exploiting data to innovate and transform the insurance sector to make life easier for our customers.

What you'll do here:

• Lead the enterprise data strategy vision and roadmap, partnering closely with cross-functional teams to deliver prioritized initiatives on time.

• Facilitate a multidisciplinary data strategy forum to drive key pillars and practices (i.e. platform and data architecture, data collection and management, data culture).

• Develop and maintain a rolling plan with regular reviews, ensuring clear prioritization of lab-wide target capabilities and alignment with enterprise portfolio goals, IT initiatives, and regulatory requirements.

• Produce and communicate strategic architecture deliverables that guide product-centric teams toward “north star” targets and provide strategic insights to senior leadership (i.e. capability assessments, market scans, target state definitions, roadmaps).

• Participate in architecture peer reviews and serve as a trusted advisor, offering constructive feedback on data-related strategic directions and architecture best practices.

What you bring to the table:

• Bachelor’s degree in information technology, Software/Data Engineering, Computer Science, or an equivalent combination of education and experience.

• 10+ years of significant experience in software engineering and/or data engineering assuming multiple roles (i.e. product manager, software developer, technical advisor, etc).

• 5+ years of experience in an application/solution/data architecture role leading large-scale data and/or ML/AI initiatives.

• Proven delivery of data management capabilities (e.g., data architecture, modeling, storage, security, data quality).

• Strong stakeholder engagement skills to facilitate decisions, resolve conflicts, and drive consensus.

• Exceptional communicator who can distill complex strategic and technical concepts into clear, compelling messages for audiences from architects to the C‑suite.

• Experience assessing current state across data domains and identifying gaps and opportunities.

• Passion for defining and landing innovative ways to create, protect, share, and leverage data as an asset to enable better data-driven decisions for our customers.

• Deep understanding of data needs to support AI product development at scale across the full lifecycle (e.g., data profiling, anonymization, observability, ML-Ops).

• Strong knowledge of data management concepts (e.g., platform and data architecture, data collection and security at scale, data culture, AI capabilities, advanced analytics, data governance frameworks).

• Proven expertise in data solution architecture, including reference architectures, conceptual modeling, and roadmap development for data platforms and products.

• Experience evaluating vendors and platforms for architectural fit, security, and value.

• Exposure levering modern data platforms & ecosystems (i.e., AWS, Databricks, Snowflake, etc.)

• Bilingual (French & English) -

• 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.