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Added 4 mins ago
Technical Business Analyst (Sales Product Management Portfolio)
Air Canada
Dorval, QC
Full-time
Elicit, analyze, document, and validate functional and non-functional requirements through interviews, workshops, process reviews, data analysis, and solution walkthroughs.
Added 4 mins ago
Programmatic Specialist (Remote Canada)
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Added 18 mins ago
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Support the full project lifecycle, from initial concept and design through build, integration, testing, and final implementation at customer sites.
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Coordinate testing and automation activities with multiple engineering teams, including local development groups, offshore resources, and cross-functional stakeholders.
Added 18 mins ago
Senior Automation Engineer
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Coordinate testing and automation activities with multiple engineering teams, including local development groups, offshore resources, and cross-functional stakeholders.
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Experience with static application security testing (SAST) tools and processes.
Added 18 mins ago
Senior Energy Efficiency Engineer – Buildings
CIMA+
Ottawa, ON
$97,360 to $133,870 CAD / year
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Lead and support commissioning, recommissioning, and retro-commissioning activities, including functional performance testing, BAS and control sequence reviews, trend analysis, deficiency…
Added 18 mins ago
Senior Security Engineer
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Experience with static application security testing (SAST) tools and processes.
Added 18 mins ago
Software Test Engineer II
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…the IT Software Test Engineer, is responsible for aiding in testing First National’s internal systems with: functional automation testing, API testing and using agile methodologies. The IT…
Added 18 mins ago
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…hands-on experience in software development and/or software testing, coupled with proven expertise managing large-scale programs and cross-functional engineering…
Added 19 mins ago
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Added 49 mins ago
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$45 to $50 CAD / hour
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Added 49 mins ago
Java Software Engineer
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Mississauga, ON
$55 to $65 CAD / hour
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Added 49 mins ago
Human Resources Analyst
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Added 49 mins ago
Senior Consultant, Compliance - Acting
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Added 49 mins ago
Senior Business Analyst
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research, and testing, to continuously improve design decisions.
Added 1 hour ago
Bilingual Interactive Illustrator (Contract Until March 2027)
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Participate in focus testing sessions to validate concepts for education and usability
Added 1 hour ago
Senior Product Designer - Driver Compliance
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As a Senior Product Designer, your key area of responsibility will be driving design initiatives in cross-functional teams, promoting cross-functional collaboration, and ensuring the…
Added 1 hour ago
Sr Android Engineer
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Full-time
…for Android platforms. You will work closely with our cross-functional teams to identify and prioritize project requirements and deliver high-quality solutions that meet our business needs.…
Added 1 hour ago
Senior Manager, HR Operations Control Governance
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Mevotech

Director, Enterprise AI Strategy & Transformation

Toronto, ON, Canada

Job type: Full-time
Apply by: Dec 27, 2026
Posting language: English
Posted: Sep 28, 2026

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Original job description

JOB PURPOSE
Reporting to the Chief Financial Officer, the Director, Enterprise AI Strategy & Transformation leads the development and execution of the organization’s enterprise AI strategy and transformation agenda to drive measurable business value, productivity, operational efficiency, innovation, and informed decision-making. The role serves as the organization’s AI subject matter expert and enterprise coordinating point, providing strategic guidance on AI opportunities, investments, governance, risk, technology, adoption, and value realization.

The Director partners with business and functional leaders to identify, prioritize, and implement AI and intelligent automation opportunities aligned with organizational objectives and financial goals. The role initially focuses on leveraging AI to enhance financial and operational performance, including forecasting, reporting, analysis, productivity, workflow efficiency, cost management, and decision-making, with successful capabilities and practices progressively expanded across other functions. The Director oversees the enterprise AI portfolio and lifecycle from opportunity assessment and business case development through solution selection, implementation, adoption, benefits realization, ongoing monitoring, and retirement.

KEY DUTIES AND RESPONSIBILITIES
AI Strategy, Portfolio & Value Management

Develop and maintain the enterprise AI strategy, operating model, portfolio, and roadmap aligned with corporate objectives and financial goals.
Identify, evaluate, and prioritize AI opportunities based on strategic alignment, business value, cost, complexity, data readiness, risk, and organizational readiness.
Develop business cases, investment recommendations, and implementation roadmaps, including build, buy, configure, or partner options.
Establish performance measures, baseline metrics, and value-realization frameworks to track AI adoption, ROI, productivity, cost savings, revenue impact, and other business outcomes.
Provide executive leadership with visibility into AI investments, performance, realized benefits, opportunities, and risks.

AI Solution Development & Implementation

Lead the evaluation, design, development, and deployment of AI solutions across enterprise productivity, function-specific applications, intelligent automation, advanced AI, and emerging agentic capabilities.
Partner with business units and end users to identify opportunities, develop practical AI-enabled solutions, and improve processes and ways of working.
Oversee AI pilots, proofs of concept, and enterprise implementations through the full lifecycle - from opportunity identification and feasibility through deployment, adoption, benefits realization, monitoring, and retirement.
Coordinate with Cybersecurity, Human Resources and other stakeholders to ensure solutions are appropriately designed, implemented, adopted, and measured.
Assess solution performance and recommend whether initiatives should be scaled, enhanced, consolidated, paused, or retired based on business value, adoption, cost, and risk.

AI Governance, Risk & Responsible Adoption

Establish and maintain enterprise AI governance frameworks, policies, standards, controls, and risk-based processes to support responsible AI adoption.
Ensure AI initiatives are appropriately assessed for cybersecurity, privacy, data, intellectual property, legal, ethical, third-party, model, and business continuity risks.
Maintain an enterprise inventory of approved AI technologies, platforms, models, agents, and material use cases, with appropriate review, approval, testing, human oversight, monitoring, and escalation requirements.
Ensure data quality, classification, access, security, information governance, and regulatory requirements are addressed before AI solutions are deployed.
Monitor the evolving AI landscape, regulatory expectations, and associated risks, and update governance practices as required.

Enterprise AI Adoption & Change Management

Lead enterprise AI literacy, adoption, and change-management initiatives across executives, leaders, employees, technical teams, and advanced AI users.
Develop and deliver role- and function-specific training, guidance, and resources to promote effective and responsible use of AI.
Serve as the enterprise resource for AI strategy, best practices, use-case guidance, and adoption support.
Measure AI utilization, adoption, training effectiveness, employee feedback, and business outcomes to continuously improve AI enablement.

Coordinate internal subject matter experts, technology teams, business stakeholders, and external partners to support successful AI adoption

Vendor, Technology & Partner Management

Evaluate AI technologies, vendors, consultants, platforms, and implementation partners against business requirements, value, security, architecture, scalability, risk, and total cost of ownership.
Manage AI technology and vendor relationships to ensure service quality, effective implementation, and value realization.
Maintain oversight of the enterprise AI technology portfolio to identify duplicate capabilities, unnecessary licensing, overlapping solutions, and opportunities for consolidation.
Monitor emerging AI technologies - including generative AI, large language models, predictive AI, intelligent automation, computer vision, and agentic AI - and assess their practical business applicability and potential value.

QUALIFICATIONS, SKILLS, AND EDUCATIONAL REQUIREMENTS

Bachelor’s degree in Computer Science, Data Science, Information Technology, Engineering, Finance, Business Administration, or a related field; Master’s degree preferred.
Minimum seven (7) years of progressive experience in AI, data analytics, digital transformation, automation, technology, or related fields, including significant experience leading enterprise AI or generative AI adoption.
Proven experience leading complex, enterprise-wide AI or business transformation initiatives from strategy and business case development through implementation, adoption, scaling, and measurable value realization.
Strong business and financial acumen, including experience with budgeting, forecasting, reporting, business case development, technology investment evaluation, performance measurement, and ROI.
Strong knowledge of AI technologies, including generative AI, machine learning, predictive analytics, intelligent automation, large language models, AI agents, and emerging AI capabilities, with an understanding of data, cybersecurity, privacy, and AI governance.
Strong strategic thinking, analytical, communication, stakeholder management, project management, and change management skills, with the ability to translate complex technology into practical business solutions and influence cross-functional decisions.
Strong technical and business judgment to evaluate AI solutions, vendors, risks, data and technology dependencies, and investment decisions. Professional certifications in AI, analytics, project management, responsible AI, or AI governance are considered an asset.

PHYSICAL DEMANDS AND WORKING CONDITIONS

Standard office setting - hybrid arrangement (4 days in-office)
Fast paced office environment
Travel expectations between facilities in Mississauga and North York

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More about this job

Responsibilities

The Director leads the development and execution of the enterprise AI strategy to drive business value, operational efficiency, and innovation. They oversee the full AI lifecycle, from opportunity assessment and business case development to solution implementation, governance, and organizational adoption.

Requirements

Candidates must have a bachelor's degree in a relevant field and at least seven years of progressive experience in AI, data analytics, or digital transformation. Proven expertise in leading complex, enterprise-wide AI initiatives and strong financial and strategic acumen are essential.

Skills

Enterprise AI Strategy
Digital Transformation
Generative AI
Machine Learning
Intelligent Automation
Business Case Development
Change Management
Data Governance
Financial Acumen
Stakeholder Management
Project Management
Predictive Analytics
AI Governance
Vendor Management
Risk Management
Strategic Planning

Visa sponsorship

Not detected in the job text

Keywords

Enterprise AI
Digital Transformation
Generative AI
Large Language Models
Predictive AI
Intelligent Automation
AI Governance
Data Quality
Cybersecurity
Business Intelligence
ROI Analysis
Change Management
Strategic Roadmap
Vendor Management
Agentic AI
Computer Vision
Information Governance
Risk Assessment
Portfolio Management
Operational Efficiency
Financial Forecasting
Technology Implementation
Data Science
Engineering
Business Administration
Project Management
Performance Measurement
Stakeholder Engagement
Compliance
Innovation

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