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Added 2 mins ago
KC
Senior Electrical Designer & Team Lead (EPS & Mechanisms)
Kepler Communications Inc.
Toronto, ON
- Full-time
In this role, you will lead the design and development of complex spacecraft electronics, provide technical guidance and mentorship to other engineers, and help ensure hardware is delivered…
Added 2 mins ago
R|
Project Manager
RI-MUHC | Research Institute of the MUHC | #rimuhc
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- Contract
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Added 2 mins ago
BC
Test Analyst
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Canada
- Full-time
Experience in software testing, quality assurance, IT support, or related technical roles is preferred.
Added 2 mins ago
C
Consulting Principal, Business Analysis Center of Excellence & AI Adoption Lead
Cognizant
Toronto, ON
- Full-time
Own quality assurance across all framework activities, manage risks and escalations, drive resolution with accountable owners, and lead the ownership transition plan so the client can…
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VT
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Added 2 mins ago
MT
Track/OCS Lead
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- Full-time
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Added 2 mins ago
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Added 2 mins ago
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- Full-time
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Added 2 mins ago
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Calgary, AB
- $120,000 to $130,000 CAD / year
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Added 2 mins ago
CT
Product Engineering Analyst (12- Month Contract)
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Toronto, ON · Retail City
- Full-time
…ensuring that in-market products continue to meet evolving quality, safety, and performance standards. The Analyst works closely with vendors to review technical documentation, resolve…
Added 2 mins ago
Electronics Manufacturing Engineer
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Added 17 mins ago
IM
Manager, Financial Reporting
Investment Management Corporation of Ontario (IMCO)
Toronto, ON
- Full-time
Lead the preparation of audited financial statements for IMCO’s investment pool funds and assigned investment legal entities, including related supplemental financial information, notes and…
Added 17 mins ago
LC
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Salford, ON
- Full-time
Check individual output to ensure highest quality.
Added 31 mins ago
BS
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- $70,000 to $90,000 CAD / year
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This role takes ownership of how our course catalog gets built and maintained. You'll lead the Course Development team day to day and make sure every course that launches meets our quality…
Added 31 mins ago
CG
Supervisor - Full-Time
Compass Group Canada
Alliston, ON
- Full-time
Ensure strict compliance with Compass’ Quality Assurance and Health and Safety Program, Occupational Health and Safety Act and WHMIS regulations.
Added 32 mins ago
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Permanent Float Educator - CELC Beehive, Hillcrest and EarlyON
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Added 32 mins ago
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Added 32 mins ago
Risk and Internal Control (RIC) Lead, Oakville ON
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Added 32 mins ago
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As a Lead Engineering Technician here at Honeywell Aerospace, you will play a crucial role in supporting our EFAB (Electronic Fabrication) business unit in Mississauga. You will lead a team…
Added 47 mins ago
OP
Contracts Coordinator
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The Contract coordinator ensures all contractual conditions regarding safety, environment, quality, scope, applicable legislative/regulatory requirements, cost, and schedule are met in a…
Added 47 mins ago
DC
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Added 47 mins ago
PG
Quality Assurance Associate
Pacer Group
Charlottetown, PE
- $30 to $35 CAD / hour
- Full-time
Domain: Quality Assurance / Pharmaceutical / Food and Drug Manufacturing

Chartwell

Director AI Enablement

7070 Derrycrest Drive, Mississauga, ON, L5W 0G5, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Posting language: English
Posted: Nov 9, 2026

Original job description

The Opportunity

The Director, AI Enablement is accountable for establishing and advancing Chartwell’s enterprise AI practice. The role exists to help the organization adopt AI safely, practically and at scale by combining strong governance with education, advisory support, and pragmatic implementation guidance.

This is not a pure research or data science leadership role. The Director, AI Enablement governs how AI is introduced into day-to-day work, helps departments identify and prioritize valuable AI use cases, and ensures that AI systems are deployed responsibly as they become more multimodal, more connected to enterprise data, and more capable of influencing decisions, workflows, and user behaviour.

The role serves as the organization’s AI expertise-as-a-service function, working across corporate departments, FASTech, Service Management & Automation, Business Analysis & Quality Assurance, Data & Analytics, Privacy, Cybersecurity, and enterprise applications to ensure that AI-enabled solutions are useful, explainable, governable, and aligned to Chartwell’s operational realities.

Key Accountabilities

Enterprise AI Governance

Develop, maintain, and evolve Chartwell’s AI governance framework, standards, guardrails, and acceptable-use practices in alignment with legal, privacy, security, and risk requirements.
Define practical controls for responsible AI use, including human accountability, override mechanisms, confidence thresholds, auditability, data handling expectations, and documentation standards.
Lead AI intake and review processes to assess proposed use cases for appropriateness, value, risk, explainability, and organizational readiness.
Establish approval paths and risk classification for AI initiatives, distinguishing between low-risk productivity uses, operational decision support, and higher-risk use cases.
Partner with Privacy, Cybersecurity, Legal, and enterprise technology leaders to ensure AI-enabled solutions meet policy, compliance, and audit expectations.

AI Education and Organizational Readiness

Design and deliver role-based AI education, awareness, and training programs for leaders, practitioners, and end users.
Create and maintain practical playbooks, templates, examples, and decision guides that help teams use AI effectively and responsibly.
Promote AI literacy across the organization by translating technical concepts into plain-language guidance and actionable practices.
Support leaders in understanding the opportunities and risks of multimodal AI, connected AI, agentic workflows, and AI-assisted decision support.
Track adoption, usage patterns, and learning outcomes to refine enablement programs and improve organizational readiness.

AI Expertise-as-a-Service

Provide advisory support to all corporate departments on AI opportunities, use-case framing, vendor/tool evaluation, and solution options.
Help teams convert ambiguous problems into clear AI and automation use cases with defined objectives, constraints, risks, and success measures.
Support business and technology teams during design and implementation by providing practical guidance on model and tool selection, workflow design, prompting patterns, and integration considerations.
Act as a trusted internal partner who helps departments move from experimentation to controlled, business-aligned AI adoption.
Contribute expert guidance to FASTech and other delivery teams so AI-enabled solutions remain practical, supportable, and aligned with enterprise standards.

Safeguarding the Organization as AI Evolves

Develop guidance and control patterns for AI systems that use text, images, documents, screenshots, voice, and other multimodal inputs or outputs.
Establish governance for AI systems that are connected to enterprise data sources, documents, communications, applications, and external research tools.
Assess and mitigate risks related to hallucinations, model drift, privacy invasion, data leakage, bias, impersonation, surveillance, over-reliance, and unsafe automation.
Define boundaries for where AI may assist versus where decisions must remain deterministic or human-owned, especially for safety, compliance, financial approvals, and resident-impacting decisions.
Provide guidance on the safe use of AI as an assistant, coach, or decision-support tool, including controls to prevent manipulation, inappropriate inference, or hidden monitoring behaviours.

Cross-Functional Collaboration and Reporting

Work closely with FASTech, Service Management & Automation, Business Analysis & Quality Assurance, Data & Analytics, Cybersecurity, enterprise applications, and business leaders to align AI adoption with business priorities.
Maintain visibility into approved AI use cases, tools, integrations, risks, and realized outcomes across the organization.
Contribute to executive reporting on AI pipeline, enablement activities, governance findings, adoption levels, and realized value.
Identify recurring themes, risks, and opportunities across departments and recommend pragmatic improvements to Chartwell’s AI operating model.

Qualifications

Education:

University degree in Computer Science, Data, Information Systems, Business, Risk, Privacy, or a related discipline; or equivalent combination of education and experience.
As an alternative to a Computer Science or Data-focused degree, demonstrated and credible expertise in AI Governance, responsible AI, and enterprise AI enablement will be considered.
Relevant coursework, certifications, or professional development in AI governance, privacy, risk, responsible AI, or change management are assets.

Experience:

Progressive experience in AI enablement, AI governance, technology advisory, digital transformation, or a related field.
Demonstrated experience establishing governance, standards, or policy controls for enterprise technology or AI adoption.
Experience designing and delivering training, communications, and change readiness programs for technology adoption.
Working understanding of large language models, copilots, AI agents, multimodal AI, and AI systems connected to enterprise data and workflows.
Experience operating in a mid-sized, decentralized environment with multiple sites or locations is an asset.

Skills & Abilities:

Strong written and verbal communication skills; able to translate technical concepts into clear guidance for business leaders and end users.
Strong facilitation, stakeholder management, and influence skills across functions and levels.
Pragmatic risk management mindset with the ability to balance innovation with restraint.
Ability to assess emerging technology capabilities and convert them into practical organizational guidance and standards.

Effort

Work requires sustained mental effort to analyze emerging technologies, assess risk, interpret policy implications, and guide adoption decisions. Physical effort is primarily computer work and meetings.
Occasional travel to residences/locations may be required.

Working Conditions

Work is generally performed in an office environment with hybrid work flexibility. Occasional non-standard hours may be required to support governance reviews, executive meetings, training sessions, or high-priority AI initiatives.
Criminal background check required.

At Chartwell, we’re all about Making People’s Lives BETTER: the lives of our residents and their families, and the lives of our employees. Join an exceptional group of diverse, inspiring, and caring people who are empowered to provide personalized, human experiences for our residents and staff through the connections they make every day within our communities.

Chartwell’s commitment to diversity and inclusivity is a commitment to hiring people whose skills and abilities contribute the most to the success of the organization and who reflect the communities in which we live and work. We are an equal opportunity employer and welcome applications from a wide range of qualified candidates, including people with disabilities. If you have questions or require assistance with the application process, please email accessibility@chartwell.com or call 1-888-663-6448.

Chartwell may use artificial intelligence to assist in screening and assessing applicants for this position.

We thank all applicants for their interest, however, only those selected for further consideration will be contacted.

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More about this job

Responsibilities

The Director of AI Enablement is responsible for establishing and advancing the enterprise AI practice by implementing governance, education, and advisory support. This role ensures that AI solutions are deployed responsibly, safely, and in alignment with organizational operational realities.

Requirements

Candidates must possess a university degree in a relevant field such as Computer Science, Data, or Business, or demonstrate equivalent credible expertise in AI governance. Progressive experience in AI enablement, technology advisory, or digital transformation is required, along with strong communication and stakeholder management skills.

Skills

AI Governance
Technology Advisory
Digital Transformation
Change Management
Stakeholder Management
Risk Management
Large Language Models
AI Agents
Multimodal AI
Policy Development
Strategic Planning
Technical Communication
Data Privacy
Cybersecurity Awareness
Process Automation
Project Leadership

Visa sponsorship

Not detected in the job text

Keywords

AI Enablement
AI Governance
Enterprise AI
Large Language Models
Copilots
AI Agents
Multimodal AI
Digital Transformation
Risk Management
Data Privacy
Cybersecurity
Change Management
Technology Advisory
Automation
Business Analysis
Quality Assurance
Policy Frameworks
Stakeholder Management
Operational Readiness
Compliance
Auditability
Model Drift
Data Leakage
Prompting Patterns
Executive Reporting

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