Senior Manager, AI & Digital Innovation

Status: Permanent Full Time

Working Conditions: Onsite

Education Level: A post-secondary education in a relevant field such as Computer Science, Engineering, Data Science, or a related discipline.

Base Location: Oshawa, ON

Shift: Days

Travel: 10%

Deadline to Apply: July 26, 2026

Salary Range: $134,000.00 - $214,500.00 Per Year

Job Overview

Ontario Power Generation (OPG) is looking for a dynamic, strategic and results-driven professional to join our team in the role of Senior Manager, AI & Digital Innovation. Reporting to the Director, Software Engineering & AI, this position is responsible for end-to-end delivery leadership for an AI-enabled product portfolio, including experimentation-to-production pathways, scaled agile execution, and operational readiness. This role provides second-line leadership, directly leading 1–3 people managers and, through them, multiple multidisciplinary delivery teams.

The role establishes portfolio-level delivery governance to support rapid iteration while maintaining strong controls appropriate for AI solutions. It ensures predictable releases by optimizing delivery processes across teams, managing vendor and platform dependencies, and proactively identifying and mitigating delivery, operational, and regulatory risks. The Senior Manager drives continuous improvement using metrics and insights (e.g., flow efficiency, reliability, model performance, adoption, and value realization) and aligns execution to enterprise strategy through regular engagement with senior leaders and business stakeholders, including co-creation and continuous refinement of an outcomes-based roadmap.

Key Accountabilities

• Lead second-line delivery execution: Directly lead and develop 1–3 managers and, through them, multiple multidisciplinary teams delivering AI & Innovation capabilities across AI Adaptive Governance, MLOps, AI platform, and robotic/drone initiatives.
• Set portfolio delivery governance and operating rhythm: Establish scaled planning, dependency management, and decision forums to align priorities, capacity, and delivery commitments across teams.
• Drive AI Adaptive Governance implementation: Operationalize risk-tiered controls, documentation, approvals, and evidence collection to support responsible AI, data governance, privacy, and security requirements without unnecessarily slowing delivery.
• Own MLOps lifecycle discipline: Ensure standardized model delivery practices (CI/CD for ML, evaluation, deployment, monitoring, drift detection, retraining triggers, and rollback patterns) are consistently applied across products and teams.
• Deliver and mature the AI platform: Oversee delivery of reusable platform capabilities (pipelines, model registry, feature management, observability, and access patterns) to improve speed, quality, and reuse across AI teams.
• Enable reliable robotic/drone solutions delivery: Ensure robust release readiness and operational support for robotics/drone-related software, including telemetry, safety controls, edge constraints, and appropriate test strategies (e.g., simulation and hardware-in-the-loop where applicable).
• Manage delivery, model, and operational risks: Proactively identify, elevate, and mitigate risks across data quality, model performance/drift, third-party dependencies, security vulnerabilities, and production reliability.
• Own vendor and partner performance: Manage strategic vendors and delivery partners (AI tooling, cloud/edge platforms, robotics hardware/software) to ensure cost-effective delivery, contract compliance, and architectural alignment.
• Measure outcomes and drive continuous improvement: Define, track, and act on KPIs spanning flow efficiency, reliability, model health, governance effectiveness, platform adoption, and value realization; drive corrective actions and investment decisions.
• Align stakeholders and roadmap to strategy: Provide clear, business-oriented delivery updates to senior leadership and co-create an outcomes-based roadmap with stakeholders balancing innovation, operational stability, and technical debt reduction.

Qualifications

• Requires post-secondary education in a relevant field such as Computer Science, Engineering, Data Science, or a related discipline, combined with progressive experience (typically 10+ years) in IT, AI/ML, or digital delivery environments, including leadership roles.
• Extensive experience in AI/ML and digital delivery leadership, including end-to-end ownership of AI-enabled products from experimentation through to production and operationalization.
• Proven second-line leadership capability, with experience managing people leaders and overseeing multiple multidisciplinary teams delivering complex technology initiatives.
• Strong background in scaled agile delivery and portfolio governance, including planning, dependency management, and aligning capacity with business priorities across teams.
• Hands-on or leadership experience with MLOps practices, including CI/CD for machine learning, model deployment, monitoring, drift detection, and lifecycle management.
• Demonstrated expertise in AI platforms and enterprise technology ecosystems, including pipelines, model registries, feature management, and observability to enable reusable AI capabilities.
• Experience implementing governance frameworks for AI and data, including risk-based controls, privacy, security, and regulatory compliance in a production environment.
• Strong vendor and stakeholder management skills, with experience managing external partners, AI tooling providers, and aligning delivery with enterprise strategy and architecture.

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

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.

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