OPEN: Smart Plants Architect / Program Manager

We are currently requesting resumes for the following position: Smart Plants Architect / Program Manager

Resume Due Date: Thursday, July 2^nd, 2026 (5:00PM EST)

Job ID: 26-072

Number of Vacancies: 1

Level: Band H / G

Duration: 18 Months

Hours of work: 35 hours per week

Location:  CHQ, 1908 Colonel Sam Drive, Oshawa, Ontario

Work Mode: Hybrid – 1 day remote per week

Hourly Rate: $125

Job Overview

• As a Smart Plants Architect / Program Manager , you will play a pivotal leadership role in shaping and delivering the vision for Smart Plants, leveraging Industry 4.0, digital twins, IoT, advanced analytics, and autonomous operations.
• You will lead end-to-end digital transformation programs—architecting, planning, and executing initiatives that enable predictive, adaptive, and autonomous plant operations.
• Working closely with executive leadership, plant engineers, IT, and operations teams, you will drive innovation, operational excellence, and measurable business value as part of the Strategic Transformation Roadmap (STR).

Digital Architecture & Program Leadership:

• Develop and maintain the enterprise architecture for Smart Plants, integrating Industry 4.0 technologies, digital twins, IoT platforms, and AI/ML-driven autonomous operations.
• Lead the planning, execution, and governance of digital transformation programs for smart plant initiatives, ensuring alignment with business strategy and operational objectives.
• Architect scalable, secure, and resilient solutions that connect physical assets, operational technology (OT), and information technology (IT) systems.
• Define and govern data models, data flows, and integration strategies for real-time asset monitoring, predictive maintenance, and autonomous decision-making.
• Oversee the adoption and integration of advanced technologies such as robotics, edge computing, AR/VR, and autonomous systems into plant operations.

Innovation, Industry 4.0 & Autonomous Operations:

• Champion the implementation of Industry 4.0 principles, enabling smart manufacturing, self-optimizing processes, and closed-loop automation.
• Lead the design and deployment of digital twins for critical assets and processes, enabling simulation, optimization, and remote operation.
• Drive the integration of IoT sensors, industrial networks, and advanced analytics for real-time visibility, diagnostics, and autonomous response.
• Foster a culture of innovation, continuous improvement, and cross-functional collaboration across engineering, operations, and IT teams.

Stakeholder Engagement, Change Management & Value Realization:

• Engage with executive sponsors, plant leaders, and business stakeholders to define digital transformation goals, KPIs, and value realization strategies.
• Lead change management efforts to drive adoption of new technologies, processes, and operating models.
• Facilitate workshops, training, and knowledge transfer sessions to build digital capabilities across the organization.
• Track and report on program progress, risks, and business outcomes, ensuring transparency and accountability.

Continuous Learning, Thought Leadership & Industry Engagement:

• Stay at the forefront of Industry 4.0, smart plant, and autonomous operations trends, technologies, and regulatory requirements.
• Represent client at industry forums, conferences, and consortiums, sharing insights and best practices.
• Mentor and develop internal talent, fostering a high-performing, innovative, and future-ready digital workforce.

Qualifications

• Bachelor’s or Master’s degree in Engineering, Computer Science, Industrial Automation, Information Technology, or related field.
• 10+ years of experience in digital transformation, smart plant/Industry 4.0 program delivery, or industrial automation, with at least 5 years in a leadership or architecture role.
• Proven experience architecting and delivering large-scale Industry 4.0, IoT, digital twin, or autonomous operations programs in asset-intensive industries (energy, utilities, manufacturing, etc.).
• Deep understanding of plant operations, operational technology (OT), IT/OT convergence, and cybersecurity.
• Hands-on experience with IoT platforms, cloud/edge architectures, advanced analytics, robotics, and AI/ML-driven automation.
• Strong knowledge of digital twin technologies, predictive maintenance, and real-time data integration.
• Experience with agile program management, change management, and stakeholder engagement at all organizational levels.
• Excellent analytical, strategic planning, problem-solving, and communication skills.
• Recognized certifications in project/program management (PMP, Agile, SAFe), architecture (TOGAF), or Industry 4.0 technologies are highly desirable.
• Visionary leadership in smart plant and Industry 4.0 transformation
• Expertise in digital architecture, IoT, digital twins, and autonomous operations
• Strategic planning and large-scale program management
• Strong stakeholder engagement and change leadership
• Innovation and continuous improvement mindset
• OT/IT integration, cybersecurity, and data governance awareness
• Ability to deliver measurable business value and operational excellence
• Commitment to continuous learning and industry thought leadership

Our client is dedicated to promoting employment equity and encourages applications from equity-seeking communities including but not limited to: Indigenous Peoples, racialized individuals, persons with disabilities, and women. Our client aims to build a diverse team that reflects the communities it serves, enhancing its ability to meet their needs. We are committed to an inclusive and accessible work environment and invites all qualified individuals to apply, offering accommodations during the application, interview and onboarding process as needed. This effort supports our client’s long-term strategy for equity, diversity, and inclusion.

CPUS Engineering employs artificial intelligence (AI) tools as part of its recruitment process to enhance efficiency and consistency. These tools may assist with activities such as application screening, candidate evaluation, and summarization of interview feedback.

AI-generated outputs are intended to supplement, not replace, human judgment. All final hiring decisions are made by qualified human decision-makers who exercise professional discretion in reviewing and assessing candidate information alongside any AI-generated insights.

CPUS Engineering ensures that the use of AI in recruitment complies with all applicable employment laws, human rights legislation, and privacy regulations. The organization is committed to maintaining fairness, transparency, and non-discrimination throughout the hiring process.