AI & Workforce Transformation Lead
- ON, Canada
- Ontario, Canada, Canada
Expected salary is role is $120,000 per annum, commensurate with experience · Full-time
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Job details
- Pay
- Expected salary is role is $120,000 per annum, commensurate with experience
- Job type
- Full-time
- Apply by
- Experience
- 5+ years of experience applying AI, analytics, or automation within a manufacturing or industrial environment.
- Posting language
- English
- Posted
Original job description
About the Role
Our client is seeking an AI & Workforce Transformation Lead to drive the practical application of AI and automation across a manufacturing environment. This role will develop and execute the AI and automation roadmap, identify high-value opportunities, and deliver measurable improvements in areas such as scrap reduction, downtime, changeovers, quality, and manual processes.
The role also focuses heavily on the people side of transformation, including workforce impact, job redesign, skills development, change management, and frontline adoption. The successful candidate will work closely with executive leadership, Production, Quality, Maintenance, IT, Engineering, and HR to ensure technology delivers measurable business value while supporting employees through change.
Compensation
- Expected salary is role is $120,000 per annum, commensurate with experience
- Develop and execute the organization's AI and automation roadmap.
- Identify, prioritize, and deliver AI and automation initiatives based on measurable business value.
- Build business cases, establish success metrics, and track operational and financial results.
- Identify opportunities across manufacturing, quality, planning, back-office, and people operations.
- Lead the data foundation required for AI, including machine connectivity, MES/ERP integration, data quality, and data labelling.
- Partner with IT and Engineering on plant-floor data, IT/OT architecture, and infrastructure requirements.
- Manage external vendors, integrators, and technology partners against defined outcomes.
- Work closely with Production, Quality, and Maintenance to ensure solutions are practical and adopted.
- Establish AI governance covering acceptable use, data handling, confidentiality, vendor risk, and procurement.
- Assess workforce impacts, including changing roles, automated tasks, required skills, and job quality.
- Partner with HR and Learning & Development on reskilling, upskilling, training, and change management.
- Build trust and adoption among frontline employees and communicate technology changes clearly.
- Provide guidance to executive leadership on AI opportunities, limitations, risks, and investments.
- 5+ years of experience applying AI, analytics, or automation within a manufacturing or industrial environment.
- Hands-on experience delivering technology or automation initiatives with measurable business results.
- Experience working with plant-floor data, including PLC/SCADA, historians, MES/MOM, OEE, quality, and downtime data.
- Understanding of IT/OT architecture and industrial cybersecurity.
- Experience leading the people side of technology transformation, including training, job redesign, communication, and frontline adoption.
- Experience managing external vendors, integrators, and technology partners.
- Strong ability to translate technical capabilities into practical business outcomes.
- Comfortable working directly with both executive leadership and frontline manufacturing employees.
- Strong analytical, communication, and change-management skills.
- Genuine comfort spending significant time on the manufacturing floor.
- Lean or Six Sigma / continuous improvement experience.
- Experience establishing AI or data governance.
- Experience building AI, data, or automation capabilities from an early stage.
- Familiarity with emerging AI regulations related to employment and workforce decisions.
- Experience working across multiple manufacturing sites or Canada/U.S. operations.
- Practical understanding of where AI can - and cannot - create value in manufacturing.
- An evidence-driven approach focused on measurable results rather than technology for its own sake.
- Strong business judgment and the confidence to challenge ideas that don't demonstrate sufficient value.
- A collaborative, hands-on approach to working with both technical teams and frontline employees.
- The ability to balance technology, business performance, and workforce impact.
- Combination of office-based work and regular presence on the manufacturing floor.
- Exposure to typical fabrication-shop conditions, including noise, dust, welding operations, and moving equipment.
- Travel between company facilities, vendors, integrators, and industry events as required.
- Occasional off-shift or extended hours may be required to support production, deployments, or training.
More about this job
Responsibilities
Develop and deliver the manufacturing AI and automation roadmap, prioritizing initiatives by measurable business value and overseeing data foundations, governance, vendors, and operational results. Lead workforce transformation by assessing job and skills impacts, partnering on training and change management, and building frontline adoption while advising executives on opportunities and risks.
Requirements
Requires at least five years applying AI, analytics, or automation in manufacturing or an industrial environment, with hands-on delivery of initiatives that produced measurable results. Candidates should understand plant-floor data and IT/OT architecture, have experience leading workforce change and vendor relationships, and be comfortable working with executives and frontline employees on the manufacturing floor.
Skills
- AI And Automation Roadmapping
- Manufacturing Analytics
- Plant-Floor Data
- PLC/SCADA
- MES/MOM
- ERP Integration
- IT/OT Architecture
- Industrial Cybersecurity
- AI Governance
- Business Case Development
- Vendor Management
- Workforce Transformation
- Job Redesign
- Reskilling And Upskilling
- Change Management
- Frontline Adoption
Visa sponsorship
Not detected in the job text
Categories
- Manufacturing
- Technology
- Management & Leadership
- Engineering
- Human Resources
Keywords
- Artificial Intelligence
- Automation
- Manufacturing
- Analytics
- PLC/SCADA
- Historians
- MES/MOM
- ERP
- OEE
- Quality Data
- Downtime Data
- Machine Connectivity
- Data Quality
- Data Labelling
- IT/OT Architecture
- Industrial Cybersecurity
- AI Governance
- Vendor Risk
- Lean
- Six Sigma
- Continuous Improvement
- Change Management
- Job Redesign
- Reskilling
- Upskilling
- Frontline Adoption
- Scrap Reduction
- Downtime Reduction
- Changeovers
- Workforce Impact