AI Technical Product Owner

Status:

Permanent Full Time

Working Conditions

: Hybrid

Education Level:

4-Year University Degree in Business, Computer Science, Information Systems, Engineering, or equivalent.

Base Location:

Oshawa, ON

Shift:

Days

Travel:

10%

Deadline to Apply:

May 15, 2026

Salary Range:

$1,664.34 - $2,583.30 Per Week

Electrify your career and help build a brighter tomorrow.

Every generation has a challenge that defines them. At OPG, we are calling on all innovators, disruptors, thought leaders and change-makers. Join us as we work to electrify life in one generation and build a sustainable future powered by our electricity, our ideas, and our people. Join OPG and make history.

Whether you work in the skilled trades or are a business professional, a career at OPG is an opportunity to electrify your life on and off the job.

Job Overview

Ontario Power Generation (OPG) is looking for a dynamic, strategic and results-driven professional to join our team in the role of AI Technical Product Owner.

Reporting to the Senior Manager Data & Artificial Intelligence, this position is responsible to support end-to-end delivery of AI products by managing the roadmap and lifecycle, aligning technical and business stakeholders, facilitating agile execution, tracking KPIs, applying market insights, and partnering with the AI Technical Lead to advance MLOps maturity, model deployment, and data feasibility for AI/ML initiatives.

Key Accountabilities

- Assist in managing the AI product roadmap by defining, refining, and prioritizing features, epics, and user stories based on value, effort, and risk.

- Contribute to the AI product vision and strategy by collecting, synthesizing, and analyzing feedback from users and stakeholders to continuously improve product direction and offerings.

- Facilitate clear, consistent communication between technical teams and business stakeholders, ensuring shared understanding of product goals, scope, dependencies, and delivery progress.

- Support lifecycle activities across planning, development, launch, and iteration phases—including readiness checks, release coordination, and post-launch learning to drive iterative improvement.

- Establish, monitor, and report on critical product and model performance metrics/KPIs to evaluate success, identify issues, and inform roadmap and prioritization decisions.

- Facilitate agile ceremonies (sprint planning, reviews, retrospectives) and promote continuous improvement in team processes, delivery predictability, and output quality.

- Conduct market research and competitor analysis to maintain awareness of AI/ML industry trends, emerging capabilities, and best practices that can influence product strategy and innovation.

- Partner with the AI Technical Lead to support AI processes and increase operational maturity by contributing to MLOps adoption (model development, deployment, monitoring), advising on data science initiatives, training/deploying AI models, and performing feasibility studies to confirm data quality and solution viability.

- Architect and design AI solutions from inception to deployment, leading the development and implementation of advanced AI/ML models.

Qualifications

- 4-Year University Degree in Business, Computer Science, Information Systems, Engineering, or equivalent.

- Minimum of 4 years of experience supporting AI/ML product management and delivery, including contributing to product roadmaps, feature prioritization, and end-to-end product lifecycle activities (planning, development, launch, iteration).

- Demonstrated experience managing an AI product roadmap and backlog, including defining and prioritizing features, epics, and user stories using value, effort, and risk trade-offs.

- Proven ability to contribute to AI product vision and strategy through discovery activities, synthesizing user/stakeholder feedback, and translating insights into actionable improvements.

- Strong capability facilitating communication between technical teams and business stakeholders, ensuring alignment on goals, scope, dependencies, risks, and delivery progress.

- Experience supporting end-to-end product lifecycle activities, including planning, development coordination, launch readiness, release management, and post-launch iteration.

- Experience establishing, monitoring, and reporting product and model performance KPIs/metrics to evaluate outcomes and inform prioritization and roadmap decisions.

- Experience working in Agile environments, facilitating or supporting sprint planning, reviews, and retrospectives, and driving continuous improvement in delivery processes and outputs.

- Working knowledge of AI delivery practices and MLOps concepts (model development, deployment, monitoring), including partnering with technical leads on operational maturity initiatives and conducting feasibility/data-quality assessments for AI/ML solutions.

The successful candidate will exhibit uncompromising integrity and commitment to upholding corporate values, and the OPG Code of Business Conduct.

OPG is committed to fostering an inclusive, equitable, and accessible environment. If you require accommodation during the selection process, please contact AODA@opg.com

What makes a career at OPG different?

With operations across Ontario, OPG is one of the most diverse power producers in North America. As the largest generator in Ontario, we meet approximately 50% of the province’s electricity needs, largely from low-carbon sources like nuclear and hydro.

As we work to achieve our vision of

Electrifying life

in one generation, OPG and our family of companies are also helping advance the development of new low-carbon technologies such as Small Modular Reactors (SMRs), refurbishment projects, and electrification initiatives to help power the growing demands of a growing economy. Join OPG and make history.

Please submit your application

online

at https://jobs.opg.com/. OPG thanks all those who apply; however, only candidates considered for an interview will be contacted.

Please note: All job postings at OPG are to fill existing vacancies within our organization.

OPG may use artificial intelligence (AI) tools as part of the applicant screening process. However, applications will also be reviewed by a member of our Recruitment team to ensure a fair and thorough assessment.

The base salary range considers many factors including, but not limited to experience, education, and training, including any collective agreement requirements for union represented positions. It is not typical for the salary to be offered near the top of the range, and salary is dependent on numerous factors. For management roles, the base salary range does not represent the total compensation package. The total compensation package for regular full-time management roles includes pay-for-performance programs for annual and medium time periods. Maintaining a high-performance culture and excellence is a core expectation of every member of our leadership team and is rewarded through the established compensation framework.

OPG is committed to employment equity. As such, we encourage applicants from equity-seeking communities (Indigenous Peoples, racialized persons, persons with disabilities, and women). We strongly believe that alleviating the under-representation of equity-seeking individuals will create a stronger OPG team and allow us to better serve the needs of our diverse communities.

In order to fulfill the above-mentioned purpose, priority in hiring may be given to qualified persons who self-identify as a member of equity-seeking groups as identified in the application process. This initiative constitutes a special program under the Human Rights Code/Canadian Human Rights Act.