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Added 12 hours ago
Sport & Exercise Medicine Physician
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Contract
Assessment of central sensitization and nociplastic pain features; explanation of pain neurophysiology to patients in plain language.
Added 1 day ago
AI Workforce Transformation Lead
EZ STAK
ON · Ontario, Canada
$100,000 to $120,000 CAD / year
Full-time
Advise the Chief People Officer and executive team, translating
Added 3 days ago
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…Outlook, and Adobe Acrobat, with the ability to effectively use case management software and quickly learn new software…
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Caseworker
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$21.22 to $26.22 CAD / hour
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…and implementation of SMART goals. Caseworkers are part of a Case Management Team which consists of a Parole Officer and where applicable, could include Edmonton Police Officers, RCMP…
Added 2 days ago
Specialist, Privacy
University of Ottawa
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Full-time
…Outlook, and Adobe Acrobat, with the ability to effectively use case management software and quickly learn new software…
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2026-0072 Director, Data & Business Analytics
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Forensic Community & Liaison Nurse, FPSC Clinics
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Added 23 days ago
Inspector, Professional Standards Branch
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Forensic Community and Liaison Social Worker BSW, FPSC Clinics, Minimum and Medium Security Units
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Conducts initial intake and ongoing biopsychosocial social work psychiatric assessments including current mental status examinations, general assessments of physical health, special…
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Forensic Community & Liaison Nurse, FPSC Clinics
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Conducts initial intake and ongoing biopsychosocial nursing psychiatric assessments including current mental status examinations, general assessments of physical health, special…
Added 1 month ago
Complaints Officer
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Added 1 month ago
Case Officer
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Forensic Community and Liaison Social Worker BSW, FPSC Clinics, Minimum and Medium Security Units
Provincial Health Services Authority
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Full-time
Conducts initial intake and ongoing biopsychosocial social work psychiatric assessments including current mental status examinations, general assessments of physical health, special…
Added 1 month ago
Case Coordinator Team Lead
Government of Alberta
Edmonton, AB
As the Case Coordinator, Team Lead, you will supervise a team of case coordinators responsible for managing public complaints related to police conduct. You will ensure that all cases are…
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Hillel Ontario Therapist
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Toronto, ON
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Case Support Analyst Position (Permanent), Calgary
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Edmonton, AB
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When working with the Case Resolution team (approximately 30% of the time), you will perform various tasks, such as assisting with resolution of deemed refusals and AMVIR (Access to Motor…
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Investigator
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…and the Criminal Code of Canada. Working as an Alberta Peace Officer, you will gather and analyze evidence, support enforcement actions, provide expert advice, and collaborate with law…
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Family Supports Navigator
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Case Support Analyst
Government of Alberta
Calgary, AB
When working with the Case Resolution team (approximately 30% of the time), you will perform various tasks, such as assisting with resolution of deemed refusals and AMVIR (Access to Motor…
Added 9 days ago
Partner Marketing Manager
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The role reports to the Chief Marketing & Growth Officer and works closely with leaders and teams across reSolved, as well as marketing, sales, and client success teams within our client…
Added 3 months ago
Early Resolution Officers
Government of Alberta
Edmonton, Alberta
Reporting to the Manager, Intake and Administration, the Early Resolution Officer is the front-line decision-maker for Worker Advisor Branch intake, responsible for reviewing over 1,000…
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Lawyer, Client Growth - CV Labs
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EZ STAK

AI Workforce Transformation Lead

ON, Canada
Ontario, Canada, Canada

Pay: $100,000 to $120,000 CAD / year
Job type: Full-time
Apply by: Oct 18, 2026
Posting language: English
Posted: Sep 18, 2026

Apply About employer

Applications open in a new tab.

Original job description

ABOUT THE COMPANY

EZ STAK is a leading global manufacturer of innovative storage solutions for commercial vehicles and workspaces. Driven by a strong commitment to quality, efficiency, and customer satisfaction, EZ STAK delivers expertly engineered products supported by streamlined operations that ensure consistent production, reliable delivery, and exceptional service.

THE OPPORTUNITY

AI. Automation. People.

At EZ STAK, we're looking for an AI & Workforce Transformation Lead to help us unlock the potential of AI across our manufacturing operations while ensuring our people remain at the center of the journey.

You'll identify high-impact opportunities, lead implementation of AI and automation initiatives, and help shape the skills, roles, and ways of working that will define our future. If you're excited by the challenge of turning technology into real business results, while building trust and adoption along the way, we want to hear from you.

The ability to travel to our facility in Watertown, NY on a semi regular basis is required.

KEY RESPONSIBILITIES

AI Strategy and Governance

Own the AI and automation roadmap: where the business invests, in

what sequence, and on what data foundation.

Establish AI governance covering acceptable use, data handling and

confidentiality, tool procurement, vendor risk, and management of

unsanctioned tool use.

Set clear boundaries on employee-facing AI - transparency, appropriate

use in people processes, and where the business chooses not to deploy

it.

Advise the Chief People Officer and executive team, translating

capability into business terms and separating genuine opportunity from

vendor noise.

Build the business cases, including capital requests, that justify

investment.

Identify AI opportunities beyond the plant floor - planning, quality,

back office and people operations - and prioritize them honestly.

Delivery

Maintain a prioritized use-case pipeline, each item carrying a baseline

metric, an estimated payback and an honest data-readiness assessment.

Own the data foundation AI depends on - machine connectivity,

historian, MES/ERP integration, data quality and labelling - specifying

what is needed and driving it to completion with IT and Engineering.

Job Description

Scope, select and manage external integrators, vendors and platforms,

holding them to measurable outcomes.

Deliver end to end, including sensor and instrumentation gaps, SOP

changes and adoption follow-through.

Partner closely with production, quality and maintenance leadership, coowning

targets so improvements stick.

Kill or defer initiatives that do not hold up, and explain why.

Report results in operational and financial terms, not model metrics.

Workforce Impact

Assess the workforce implications of every initiative before it is

approved: which roles change, which tasks are automated, what new

skills are required, and what it means for headcount and job quality.

Partner with HR and Learning & Development to build reskilling and

upskilling pathways ahead of deployment, not after.

Design the change management and communication approach for each

rollout, including being straight with people about what is and is not

changing.

Build operator and supervisor trust in deployed systems; treat resistance

as information about the design rather than an obstacle to overcome.

Work with employee representatives on consultation where applicable.

Track adoption and job-quality outcomes alongside efficiency metrics,

and report both.

The First 12 Months

• Months 1–3: Assess current state across plant systems, data availability

and workforce readiness. Build relationships with production, quality,

maintenance and IT. Deliver a prioritized roadmap with data-readiness

and workforce-impact assessments.

• Months 4–6: Stand up AI governance and the acceptable-use policy.

Close the highest-impact data gaps. Begin first delivery with its change

and training plan.

• Months 7–12: Deliver two initiatives with measured efficiency results

and demonstrated adoption. Establish a repeatable intake, evaluation

and benefits-tracking process.

POSITION REQUIREMENTS

Essential Experience

Five or more years applying AI, analytics or automation in a

manufacturing or industrial setting, including hands-on delivery.

Demonstrated efficiency wins the candidate can describe with real

numbers - baseline, intervention, measured result and cost.

Direct experience leading the people side of technology change:

training, job redesign, communication and building frontline buy-in.

Working fluency with plant-floor data: PLC/SCADA tags, historians,

MES/MOM, OEE capture, and quality and downtime data.

Practical understanding of where AI genuinely applies in manufacturing,

and where it does not yet.

Assets

Continuous improvement background (Lean, Six Sigma), which pairs

naturally with the people-centred approach of this role.

Experience establishing AI or data governance from scratch.

Experience building a data or automation capability from a low starting

point.

Familiarity with emerging AI regulation, particularly as it applies to

employment decisions.

Experience working across multiple sites, or across the Canada–U.S.

border.

Skills & Knowledge

AI, Data and Technical:

Practical understanding of where AI genuinely applies in manufacturing

vision inspection, yield and scrap analysis, scheduling optimization,

predictive maintenance - and where it does not yet.

Working fluency with plant-floor data: PLC/SCADA tags, historians,

MES/MOM, OEE capture, and quality and downtime data.

Sufficient understanding of IT/OT architecture and industrial security to

specify requirements and partner credibly with IT.

Job Description

Data foundation development: connectivity, integration, data quality

and labelling.

Benefits measurement - baselining, attribution and reporting results in

operational and financial terms.

Workforce and Change:

Job redesign and workforce impact assessment.

Change management, communication and frontline adoption.

Reskilling and upskilling pathway design in partnership with HR and

Learning & Development.

Consultation with employee representatives where applicable.

Commercial and Governance:

Business case construction, including capital requests, payback and

benefits tracking.

AI and data governance: acceptable use, data handling, vendor risk and

tool procurement.

Vendor and integrator management against measurable outcomes.

We hire and operate on 5 core values:

Integrity: We always do what’s right.
Respect: We believe people and property matter.
Teamwork: We pull together to win.
Optimism: We persevere with enthusiasm.
Curiosity: We are hungry to learn, improve and succeed.

Why join us:

Your work is visible. Contributions here are traceable to the people who made them, and leadership is close enough to the work to see it.
Our work matters. What we build goes into the vehicles of people doing serious work - utility and infrastructure crews, first responders, and military and defense operators.
Our team. Passionate and execution-oriented, collaborative because we'd rather build things together, and gritty enough to stay with a hard problem until it's solved.
Meaningful remuneration: revenue driven monthly bonus potential, benefits & retirements savings plans.

Apply About employer

More about this job

Responsibilities

The AI Workforce Transformation Lead will own the AI and automation roadmap, establishing governance and data foundations while driving high-impact initiatives across manufacturing operations. They will also lead workforce impact assessments, designing reskilling pathways and change management strategies to ensure successful adoption and job quality.

Requirements

Candidates must have five or more years of experience applying AI, analytics, or automation in a manufacturing setting with a proven track record of efficiency gains. Proficiency in plant-floor data systems and experience leading the human side of technology change are essential.

Skills

AI Strategy
Automation
Manufacturing Operations
Data Governance
Change Management
Workforce Transformation
PLC/SCADA
MES/ERP Integration
Lean
Six Sigma
Business Case Construction
Vendor Management
Predictive Maintenance
Data Analytics
Upskilling
Industrial Security

Benefits

Benefits
Retirement savings plans

Visa sponsorship

Not detected in the job text

Keywords

AI
Automation
Manufacturing
Data Governance
PLC
SCADA
MES
ERP
OEE
Lean
Six Sigma
Predictive Maintenance
Change Management
Workforce Transformation
Industrial Security
Data Foundation
Business Case
Vendor Management
Upskilling
Reskilling
Operational Efficiency
Strategy
Governance
Instrumentation
SOP
Analytics
Technology Change
Industrial Setting
Deployment
Adoption

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