We are committed to connecting Canadians through unique partnerships, our world-class network and content Canadians love—and our innovative team is growing. We are looking for dedicated team members to join our Corporate team who have a genuine passion for making positive impacts on customers and the communities where we live and work. We have a variety of business units with exciting and meaningful work waiting for you, including Communications, HR, Legal and Corporate Affairs, Supply Chain, Finance, and Real Estate. The Manager, Data Science Product Owner is responsible for the Portfolio & Product Management, managing the roadmap, prioritization, and lifecycle of Machine Learning (ML) models and model feature-store capabilities. Acting as the primary interface between business stakeholders and the Model Development & Strategy (MDS) team, this role translates business opportunities and requirements into a prioritized portfolio of data science and data capabilities. The role works closely with Data Scientists, Data Engineers, MLOps teams, and business partners to ensure initiatives are properly defined, prioritized, delivered, adopted, and continuously optimized throughout their lifecycle.

This role requires a strong understanding of the end-to-end machine learning lifecycle and the ability to balance business value, technical feasibility, delivery effort, and available capacity across a complex portfolio of initiatives.

Own and maintain the roadmap and backlog for machine learning models and feature-store assets.
Balance investment across new capability development, enhancement of existing assets, model retraining, and ongoing maintenance activities.
Evaluate and prioritize competing requests based on business value, strategic objectives, delivery effort, dependencies, risks, and available capacity.
Support portfolio planning activities and provide recommendations to Data Science leadership regarding priorities and sequencing.
Gather and assess demand from business teams and translate business problems into clearly defined use cases, requirements,



expected business value, success metrics, and implementation needs.
Facilitate intake, discovery, and requirements discussions to ensure initiatives are appropriately defined before entering the delivery pipeline.
Coordinate end-to-end delivery across Data Science, Data Engineering, MLOps, and other teams responsible for developing and operationalizing solutions.
Manage dependencies, delivery sequencing, risks, and cross-functional coordination across multiple concurrent initiatives.
Partner with technical specialists to evaluate feasibility, implementation approaches, delivery effort, technical dependencies, and resource requirements.
Facilitate planning, status reviews, and stakeholder updates to ensure successful execution and deployment.
Maintain visibility into the inventory, status, and health of production models and feature-store capabilities.
Track assets throughout their lifecycle, including intake, development, validation, deployment, monitoring, enhancement, retraining, and retirement.
Adoption, Performance & Value Realization
Monitor asset performance and identify opportunities for optimization, reuse, consolidation, enhancement, or retirement.
Prepare portfolio dashboards, performance reporting, and executive-ready summaries for leadership review.

3+ years working in Data Science or AI/ML, with experience in Product Management, Portfolio Management, or Program Management.

- Solid understanding of the machine learning lifecycle, including feature engineering, model development, validation, deployment, monitoring, retraining, and retirement processes.
- Experience working with Data Scientists, Data Engineers, MLOps teams, and business stakeholders.




- Experience supporting machine learning, customer decisioning, marketing analytics, or AI product portfolios.
- Experience with Databricks, Azure ML, Azure DevOps, Jira, or similar platforms.
- Telecommunications, marketing analytics, or customer analytics experience.

Business demand is translated into a well-defined and actionable delivery pipeline.
Opportunities for enhancement, reuse, optimization, and retirement are proactively identified and executed.

We believe in investing in our people and helping them reach their potential as valuable members
Competitive salary & annual bonus.
Competitive & flexible health and dental benefits, pension plan, RRSP, TFSA, and Stock matching programs.
Enjoy up to 50% off Rogers Services and Blue Jays Tickets, 25% off TSC items, and a 20% discount on all wireless accessories sold in Rogers stores.
Growth & Development Opportunities:
Self-driven career development programs.
Employee & family assistance program.
Virtual Healthcare.
Our commitment to diversity:
To protect our people, brand and assets, a pre-employment background check will be conducted. Schedule: Full time
Shift: Day
Length of Contract: Not Applicable (Regular Position)
Travel Requirements: Canadian Criminal Record Check
To support career growth, collaboration, and high-performing teams, all Corporate Employees are expected to work onsite. We believe that in-person connection strengthens our culture and drives industry-leading performance.

At Rogers, we believe the key to a strong business, is a diverse workforce where equity and inclusion are core to making everyone feel like they belong. We do this by embracing our diversity, celebrating our different perspectives, and working towards creating environments that empower our people to bring their whole selves to work. We work with our candidates who are experiencing a disability throughout the recruitment process to ensure that they have what they need to be at their best. Corporate

📌 Product Owner Temps Plein (Toronto)
🏢 Rogers Communications
📍 Toronto