Job Description

Req Id: 425865
At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It's all developed and delivered by the members of #TeamBell and we're always on the lookout for people with great skills and experiences.
We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have - making every day better for people as they connect, work, learn and play.
Join us. You belong at Bell.
Summary
The Data Engineering and Artificial Intelligence Team within Bell is at the forefront of innovation. Our goal is to leverage the power of Artificial Intelligence and Machine Learning to provide the best service for our customers while accelerating our product roadmaps. The work we do is critical in ensuring that Bell remains the best telecommunications provider in Canada.
As the product team focused on Marketing and Service, we manage ML products that help serve our customers better with their experience and with inbound and outbound communication. Working in a dynamic, fast-paced environment, activities will include product management of one or more of our AI/ML product lines, which will include product lifecycle management, use case development, business adoption, competitive benchmarking and analysis, and business planning activities.
The successful candidate will drive the product vision while ensuring a flawless customer experience. She/he will be a key interface between business facing and technical delivery teams, while maintaining concise updates for the executive team. This role requires leadership, maturity, strong analytical capabilities, solid business acumen and a deep-seated impulse to sweat the details of our products and projects - all to ensure amazing experiences for our customers.
Key Responsibilities

• Collaborating with cross-functional teams & industry leading partners to build and launch new innovative products
• Full lifecycle support of Machine Learning products including ideation, coordination, business adoption, performance monitoring and iteration.
• Pitching innovative solutions and recommendations in concise and compelling presentations to senior executives
• Leading use case discovery with business partners and coordinating into a concise roadmap to be executed on with business and technical teams
• Creating business cases for pursuing product initiatives; performing deep analysis to uncover obstacles and opportunities
• Identify, analyze, and interpret trends or patterns in complex data sets
• Combining your creativity with sound data analysis to design the optimal experience
• Influencing partner teams on the right direction to take and working closely with partners to ensure proper prioritization of activities as they relate back to business objectives
• Maintaining visibility to new and emerging technologies and trends that may inform roadmaps
• Contributing to a growing Agile team and being part of a program that emphasizes team building, collaboration and continuous improvement

Critical Qualifications

• Bachelor's degree in Business, Commerce, Finance, Computer Science, Engineering, Statistics or equivalent
• 2+ years of end-to-end product management experience with knowledge across planning, development, measurement and quality processes.
• Self-motivated, action-oriented and demonstrated ability to deliver results
• Strong problem solving skills and able to develop an approach to decision making
• Advanced capability to query, analyze, and visualize data; Proficiency with Teradata, SAS, Python, MicroStrategy would be an asset
• Highly organized and able to manage multiple priorities simultaneously with minimal direction
• Excellent communication skills; clear and concise verbal and written communication style, able to effectively communicate, influence and present at all levels
• Familiarity with AI/ML and/or Statistics fundamentals
• Proven ability to learn and understand new technologies; comfortable with technical discussions
• Familiarity with multiple technical domains (AI Agent, Recommender System, GCP, Generative AI, Predictive Modelling)
• Team oriented and possessing excellent leadership skills
• Working knowledge of Agile - Confluence, JIRA

#EmployeeReferralProgram
Adequate knowledge of French is required for positions in Quebec.
Additional Information:
Position Type: Management
Job Status: Regular - Full Time
Job Location: Canada : Ontario : Don Mills || Canada : Ontario : Mississauga || Canada : Ontario : Toronto
Work Arrangement: Hybrid
Application Deadline: 10/13/2025
For work arrangements that are 'Hybrid', successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.
Please apply directly online to be considered for this role. Applications through email will not be accepted.
We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you'll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners.
We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you'll feel valued, respected and supported as you grow and reach your full potential.
We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the or visit our for other ways to contact us.
Artificial intelligence may be used to assess parts of your application. Please review our privacy policy ( ) to learn more about how we collect, use, and disclose your personal information.
Created: Canada, ON, Toronto
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