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About the Role
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. This role acts as the primary interface between business stakeholders and the Model Development & Strategy (MDS) team, translating 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.
Responsibilities
- 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.
- Act as the primary liaison between business stakeholders and the MDS organization.
- 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.
- Build strong relationships with stakeholders to understand evolving business priorities and identify opportunities for new analytical and machine learning capabilities.
- 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.
- Support governance reviews, lifecycle checkpoints, and model portfolio management activities.
- Ensure appropriate documentation, traceability, and portfolio reporting are maintained.
- Track adoption, utilization, and business impact of delivered models and feature-store capabilities.
- Monitor asset performance and identify opportunities for optimization, reuse, consolidation, enhancement, or retirement.
- Support measurement and reporting of business outcomes and value realization.
- Prepare portfolio dashboards, performance reporting, and executive-ready summaries for leadership review.
Requirements
- 3+ years working in Data Science or AI/ML, with experience in Product Management, Portfolio Management, or Program Management.
- Strong 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.
- Demonstrated ability to manage competing priorities and coordinate cross-functional initiatives.
- Strong analytical, communication, stakeholder management, and facilitation skills.
- Experience translating business requirements into actionable delivery plans.
- Experience supporting machine learning, customer decisioning, marketing analytics, or AI product portfolios.
- Familiarity with feature stores, MLOps practices, model governance, and model lifecycle management.
- Experience with Databricks, Azure ML, Azure DevOps, Jira, or similar platforms.
- Telecommunications, marketing analytics, or customer analytics experience.
- A pre-employment background check will be conducted.
- All candidates must clear a criminal background check.
- A credit check and drivers abstract may be required depending on the role.
Skills
- Data Science
- AI/ML
- Product Management
- Portfolio Management
- Program Management
- Machine Learning Lifecycle
- Feature Engineering
- Model Development
- Model Validation
- Model Deployment
- Model Monitoring
- Model Retraining
- Model Retirement
- Data Scientists
- Data Engineers
- MLOps teams
- Business Stakeholders
- Managing Competing Priorities
- Cross-functional Initiatives Coordination
- Analytical Skills
- Communication Skills
- Stakeholder Management
- Facilitation Skills
- Translating Business Requirements
- Actionable Delivery Plans
- Customer Decisioning
- Marketing Analytics
- AI Product Portfolios
- Feature Stores
- MLOps Practices
- Model Governance
- Model Lifecycle Management
- Databricks
- Azure ML
- Azure DevOps
- Jira
- Telecommunications
- Customer Analytics
Location
- Toronto, ON
Work Type
- Full time
- Onsite
Experience Level
- 3+ years
Salary/Compensations
- Competitive salary & annual bonus
Benefits
- Competitive & flexible health and dental benefits
- Pension plan
- RRSP
- TFSA
- Stock matching programs
- Up to 50% off Rogers Services
- Up to 50% off Blue Jays Tickets
- 25% off TSC items
- 20% discount on all wireless accessories sold in Rogers stores
- Paid time off for volunteering
- Company matching contributions to charities
- Self-driven career development programs
- Rogers First: priority in applying to internal roles of interest
- Employee & family assistance program
- Virtual Healthcare
- Cognitive Behavioural Therapy (CBT)
- Low or no-cost fitness membership
About the Company
- 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.
- If you are considering your next step, we have exciting opportunities waiting for you.
- Come build a rewarding career at Rogers and be a driving force behind our success story!
Equal Opportunity
- An inclusive and diverse workplace where you can bring your whole self to work.
- 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.
- Everyone who applies for a job will be considered.
- We recognize the business value in creating a workplace where each team member has the tools to reach their full potential by removing any barriers for equal participation.
- 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.
- Please reach out to our recruiters and hiring managers to begin a conversation about how we can ensure that you deliver your best work.
- You matter to us!