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Co-operators

Lead Data Integration Specialist-API Management

Posted Yesterday
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In-Office or Remote
4 Locations
Expert/Leader
In-Office or Remote
4 Locations
Expert/Leader
Lead engineering and deliver ML model pipelines and API-based analytical solutions. Design scalable, secure, maintainable data integrations, enforce MLOps best practices, coach technical team members, and collaborate with BI architects to meet business objectives using insurance PolicyCenter data.
The summary above was generated by AI

Company: CGIC
Department: Business Intelligence
Employment Type: Regular Full-Time
Work Model: Hybrid (2 days in office)
Language: English is required, French is an asset.
Additional Information: This/these role(s) is/are currently vacant

The Opportunity:

We are a leading Canadian financial services co-operative committed to being a catalyst for a sustainable and resilient society and our team is essential to deliver on this strategy. That’s why we prioritize our people, to ensure we provide a strong culture and development opportunities which enables our team to thrive and to live our purpose. The best part is that you will work with people that care passionately about you, our clients, and our communities.

Our Business Intelligence team empowers decision making using leading edge science and analytics. We strive to deliver a single version of the truth, by providing our business partners with access to comprehensive data and valuable insights to help our organization achieve operational excellence.

As the Lead Data Integration Specialist, you will lead various initiatives by engineering data solutions for analytics purposes while also supporting the team through coaching and mentoring using insurance data and advanced programming tools. You will be responsible for providing business value through the creation, implementation and maintenance of advanced analytical solutions in the organization’s Application Programming Interfaces (API) and effectively communicate said value to a business audience.

How you will create impact:
  • Improving the pipeline with the delivery team while integrating reconciliation across the various assets in this vertical.
  • Leading various initiatives by building ML model pipeline solutions from conceptual and business requirements, supporting live-analytical solutions for analytical purposes.
  • Defining and promoting design principles based on the best analytic solution, considering scalability, automation, security, long-term maintainability and performance that is in alignment with the target architecture strategy of the BI and Data Office departments.
  • Ensuring solutions are based on the highest ML Ops industry standards and best practices in terms of data handling, production code standards and meeting SLAs.
  • Working with BI Architects on data projects involving complex problems or high-level business objectives and leading the design of ML model solutions, ensuring the outcomes of the projects meet the business objectives.
  • Leading the team from a technical perspective, ensuring that processes are followed, while supporting and coaching and mentoring junior resources.
How you will succeed:
  • You have an innovative mindset to improve operational efficiencies and ability to influence change, with a primary focus on client needs.
  • You use critical thinking skills to recognize assumptions, evaluate arguments, draw conclusions and proactively propose solutions.
  • You have strong communication skills to clearly convey messages and explore diverse points of view.
  • You build trusting relationships and provide guidance to support the development of colleagues. 
To join our team:
  • You have 10 years of experience in ML Engineering or Data engineering/Integration
  • Advance experience using REST APIs and continuous monitoring.
  • You have a post-secondary degree in Computer Science or a related field.
  • You have experience leading others to solve complex problems using analytical thinking, tools and judgment to identify innovative solutions.  
  • You have a strong understanding of the insurance industry and have experience working with Policy Center data.
  • You have excellent knowledge and understanding of data analysis, programing, modeling techniques, data warehouse and data management, research, architecture and design.
  • Experience with following technologies and environments is required: SQL, Python, Synapse, Databricks and Azure Data Factory. R is an asset.
  • This position primarily works with majority non-francophone groups, and teams located outside of Québec, and requires proficiency in English. The essential non-French duties are not assignable to adjacent or other team members.
What you need to know:
  • You will be subject to a Background check as a condition of employment, in the event you are the successful candidate.
What’s in it for you?
  • Training and development opportunities to grow your career.
  • Flexible work options and paid time off to support your personal and family needs.
  • A holistic approach to your well-being, with physical and mental health programs and a supportive workplace culture.
  • Paid volunteer days to give back to your community.
  • In addition to our competitive salary and incentive programs, eligible employees also benefit from a comprehensive total rewards package including group retirement savings plans, pension and benefits (e.g., health and wellness, dental, disability and life coverage), mental health support and an employee assistance program.

Expected salary $104,717 - $154,700+

The salary amount for the successful candidate is determined by Co-operators in its discretion and will vary depending on several criteria including but not limited to: local market conditions, geography and relevant job-related factors such as knowledge, skills, qualification, experience and education.

Employees may also have the opportunity to participate in incentive programs and earn additional compensation tied to individual and/or business performance, or other business metrics.

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101 Cooper Dr, Guelph, Ontario, Canada, N1C 0A4

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