Manager, Data & AI Engineering

Definity; Waterloo; On-site; CAD 100,000 - 130,000; Full time

Job summary

Definity is seeking a visionary Manager for Data & AI Engineering to lead high-quality data solutions across core platforms in a collaborative, innovative environment. This mid-senior level role requires a strong tech background and emphasis on leadership to foster talent and drive strategic data initiatives within the company.

Benefits

Company share ownership program

Pension and savings programs with company-matched RRSP contributions

Paid volunteer days and company matching on charitable donations

Tuition assistance

Focus on inclusion with employee groups

Wellness and recognition programs

Discounts on products and services

Qualifications

• 6+ years in Big Data and Data Analytics.
• 2+ years in leadership of data engineering teams.
• Experience in cloud-native architectures.

Responsibilities

• Lead the creation and evolution of Cloud Data Platform strategy.
• Oversee the design, development, and implementation of data programs.
• Collaborate with product leaders and data scientists on technical solutions.

Skills

Data Engineering

Leadership

Problem-solving

Collaboration

Education

Bachelor's degree in Computer Science, Mathematics, or a related quantitative field

Tools

ETL tools (Big query, Databricks, Snowflake)

Big data technologies (Big Query, Spark, PySpark)

Cloud platforms (GCP)

Programming languages (Python)

Job description

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Definity is the parent company to some of Canada’s most long-standing and innovative insurance brands, including Economical Insurance, Sonnet Insurance, Family Insurance Solutions, and Petline Insurance. Our ambition is to be one of Canada’s leading and most innovative property and casualty insurers. We can’t do that without our people, so we embrace and encourage a culture that’s collaborative, ambitious, rewarding, and empowering.

We offer a flexible, hybrid work experience where employees work from the office and virtually depending on the type of work they are doing and who they are working with. Bring your true self and be a part of our journey. It’s better here.

We are seeking an experienced and visionary Manager, Data & AI Engineering to lead our critical Data Engineering function. In this pivotal role, you will be responsible for shaping the strategy, development, and delivery of robust, scalable, and high-quality data solutions across our core platforms (Policy, Claims, Billing). You will balance rapid innovation with long-term architectural stability, ensuring our data ecosystem empowers advanced analytics, machine learning, and critical business insights.

What You Will Do

• Strategic Leadership :
• Define and execute the technical roadmap for our scalable data solutions, ensuring alignment with overall business and AI strategies.
• Lead the creation and evolution of our Cloud Data Platform strategy, vision, and framework.
• Drive continuous improvement in data ingestion, curation, consumption insights, and overall data governance practices.
• Drive Data products vision and translates it into tangible business value
• Team & Talent Development :
• Lead, mentor, and grow a high-performing, distributed Data Engineering team, fostering a collaborative, inclusive, and innovative culture.
• Manage team performance, development plans, and career progression, building a strong, cohesive unit.
• Technical Oversight & Delivery :
• Oversee the design, development, and implementation of complex data programs and pipelines using Big query ,Spark, PySpark, ETL tools, and other big data technologies.
• Ensure the delivery of high-quality, robust, and timely data products that meet critical business requirements for Policy, Claims, and Billing.
• Champion best practices in code quality, documentation, and data architecture within the team.
• Cross-functional Partnership :
• Collaborate closely with product leaders, Data Scientists, and other engineering and business stakeholders to translate complex business problems into technical solutions.
• Regularly align on project commitments, priorities, and strategic initiatives to ensure successful execution.
• Innovation & Problem Solving :
• Incubate new technologies and methodologies within the Big Data and AI ecosystem, sharing professional perspectives and guiding adoption.
• Act as a strong problem-solver, adept at navigating complex data challenges and proposing pragmatic solutions.

What We’re Looking For

• Experience & Leadership :
• 6+ years of progressive experience in Big Data and Data Analytics, with a strong focus on engineering scalable data solutions.
• 2+ years of proven leadership experience in managing and developing high-performing data engineering or technology teams, including a track record of fostering talent in a multicultural distributed environment.
• Technical Acumen :
• Deep hands-on expertise with big data systems and experience in processing structured and unstructured Data
• Proficiency in programming languages like Python and extensive experience with Databricks or similar data platforms.
• Solid experience with ETL tools (Big query , Databricks, snowflake,Dataflow ), stream processing technologies (e.g., Kafka / PubSub), and scheduling tools(CNTRLM, Airflow).
• Experience with cloud platforms (GCP experience preferred) and a passion for cloud-native data architectures.
• Familiarity with incident management process , intake , estimation process
• Core Competencies :
• Exceptional problem-solving abilities with a track record of tackling complex data challenges and delivering practical, impactful solutions.
• Strong communication, collaboration, and stakeholder management skills, capable of influencing and aligning diverse teams.
• A natural leader who fosters an inclusive environment, empowers team members, and drives a culture of continuous improvement and innovation.
• Education :
• Bachelor's degree in Computer Science, Mathematics, or a related quantitative field.

Role ID - 172

Interested in this role, but don't meet every requirement? We encourage you to apply! We know from experience that a candidate doesn't need 100% of the qualifications listed to bring incredible value to our team. We're actively seeking diverse backgrounds and perspectives to help us make insurance better. At Definity, inclusion, diversity, and equity aren't just "nice to have" — they're essential to our success.

What's in it for you?

• Company share ownership program
• Pension and savings programs, with company-matched RRSP contributions
• Paid volunteer days and company matching on charitable donations
• Educational resources, tuition assistance, and paid time off to study for exams
• Focus on inclusion with employee groups, support for gender affirmation surgery, access to BIPOC counsellors, access to programs for working parents
• Wellness and recognition programs
• Discounts on products and services

Actual salary for the role may vary depending on work location of the successful candidate and other factors including but not limited to, skills, education, experience, working conditions and the local labour market. In addition to base pay, eligible employees may participate in various incentive plans which are paid out at the discretion of the company and subject to individual and company performance.

Go ahead and expect a lot — you deserve it.

It's better here — but don't take our word for it. Definity was named by Great Place to Work as one of the Best Workplaces in Canada for women, for youth, and for inclusion.

Our inclusive work environment welcomes diversity and supports accessibility. If you require accommodation at any time during the recruitment process, please let us know by contacting [email protected].

Background checks

This role requires successful clearance of background checks (including criminal checks and leadership references).

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology

Insurance

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Manager Data Engineering • Waterloo, Region of Waterloo, Canada