Co-operators Logo

Co-operators

Manager, Business Intelligence - CLV

Posted 18 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in Québec, QC, CAN
Senior level
Remote
Hiring Remotely in Québec, QC, CAN
Senior level
Lead a BI team focused on Customer Lifetime Value (CLV) analytics and ML Ops. Develop, deploy, and maintain predictive models to support marketing, targeting, and strategic decisioning. Mentor team members, ensure data quality and model performance, liaise with stakeholders, and oversee complex technical projects and standards compliance.
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: Bilingualism in English and French is required.
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 champion a scientific culture through our passion for continuous learning, diversity and innovation.
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 a Business Intelligence Manager, with a Data Science/ML Ops focus, you will be responsible for the creation and maintenance of advanced analytical solutions supporting the profitable growth strategies of our various P&C insurance portfolios. Known as Customer Lifetime Value (CLV), these solutions are used in marketing, targeting and strategic decisioning to help with decision-making, automate actions in our insurance systems, feed various analytical tools, and monitor our results. You will collaborate with various stakeholder groups within the organization, supporting them in their strategies through the alignment and execution of predictive modeling and data science best practices. You will lead a talented team and contribute to their development while overseeing complex technical projects.

How you will create impact:
  • Develop and manage performing teams by recruiting, training, coaching, assessing, motivating, and supporting.
  • Provide mentorship and guidance to team members, ensuring the development of the technical aspects of Data Science/ML Ops.
  • Responsible for the quality and effectiveness of outcomes by ensuring that standards and policies are followed, and the intended outcomes of those policies are met (data quality, accuracy, performance, security, etc.).
  • Represent your team in project planning and scrums with business partners.
  • Translate business needs into specific objectives for your team and communicate progress to stakeholders.

How you will succeed:
  • You build trusting relationships and provide feedback to enable the successful development of your team and colleagues.  
  • You foster innovation and continuous improvement with a focus on client experience.   
  • You facilitate the adoption of change and create a high-performance culture through alignment of your team’s work with organizational goals.  
  • You successfully convey messages and demonstrate openness to exploring alternative points of view.  
  • You use critical thinking to guide decision making and apply a strategic mindset to adjust business plans based on shifting priorities.

To join our team:
  • You have a proven experience (8+ years) in developing and/or implementing Predictive Models and Advanced Analytics solutions.
  • You have an advanced degree in Data Science, Actuarial Science, Artificial Intelligence, Computer Science, Mathematics, Statistics or equivalent technical experience.
  • You can lead others to solve complex problems through analytical thinking, tools, and judgement to identify innovative solutions.
  • Experience with following technologies is required: SQL and Python
  • Experience with the following technologies is an asset: Spark
  • You have excellent communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • 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 travel occasionally.
  • Extended work hours, in some instances, might be required (including weekends and evenings).
  • You will be subject to a Background check as a condition of employment, in the event you are the successful candidate.
  • As a leader, strict confidentiality is required with respect to sensitive matters and employees’ personal information.

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. 

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.

 

Co-operators Montréal, Québec, CAN Office

2000, McGill College, bureau 810, Montréal, Québec, Canada, H3A 3H3

Similar Jobs

19 Hours Ago
Easy Apply
Remote
Canada
Easy Apply
Senior level
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Design, build, and operate Kubernetes cluster management tooling and developer-facing workflows. Deliver compute capabilities (jobs, cron, deployments, EFS, right-sizing), automate toil, improve observability and incident response, and partner with Security/Reliability teams. Apply AI tooling to improve infrastructure automation and developer productivity.
Top Skills: ArgocdAWSCncfEc2EcsEfsEksEnvoyGCPGenerative AiHelmIamIstioKubernetesMesosNomadPrometheusVpc
19 Hours Ago
Remote
Canada
Junior
Junior
Healthtech • Social Impact • Telehealth
The Provider Onboarding Specialist manages the onboarding process for therapists and psychologists, ensuring a seamless experience while collaborating with various teams and maintaining metrics.
19 Hours Ago
In-Office or Remote
Montréal, QC, CAN
Senior level
Senior level
Artificial Intelligence • Software • Generative AI
The Chief of Staff will assist the CEO and CSO in driving growth, managing projects, and coordinating across departments in a fully remote software consultancy.

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account