Lead Data Integration Specialist - ML Engineer

3 days ago Be among the first 25 applicants

Company : CGIC

Department : Business Intelligence

Employment Type : Regular Full-Time

Work Model : Hybrid

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 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 using insurance data and advanced programming tools. You will be responsible for providing business value through the creation; maintenance; implementation of back-end data solutions (ie. Source System Data Store & Business Data Store) through the full software development lifecycle and effectively communicate said value to a business audience.

How You Will Create Impact

• Leading and guiding the technical aspects of multiple machine learning projects and data science teams.
• Improving the pipeline with the AMTB team, integrating reconciliation across the various assets in this vertical.
• Building physical data models and schemas from conceptual and business data models and requirements.
• Leading the design of our analytic and machine learning solutions, working with architects and solution designers and taking responsibility for the work of junior resources.
• Defining and promoting designs for analytic solutions, considering scalability, automation, security, long-term maintainability and performance.
• Working with BI Architects on data projects involving complex problems or high-level business objectives and leading the design of data engineering solutions, ensuring the outcomes of the projects meet the business objectives.
• Defining and promoting design principles based on the solution (ex : REST API) and best practice in terms of data handling (ex : security, governance), the SDLC (ex : unit testing), production code standards and meeting SLAs (ex : low latency responses).
• Enabling and supporting ML Ops practices, standards and guidelines.

How You Will Succeed

To Join Our Team

What You Need To Know

What’s in it for you?

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Referrals increase your chances of interviewing at Co‑operators by 2x

#J-18808-Ljbffr