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Senior Manager, AI & Digital Innovation

Oshawa, ONPosted 4 days ago

Job Description

  • 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, escalate, 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.
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