Lead AI and Automation
New
J
JobgetherAviation and Defense
CanadaFull-TimeLead
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 8+ years
- Required Skills
- Artificial IntelligenceMachine LearningChange ManagementGenerative AI
Requirements
- Bachelor’s degree in computer science, information systems, engineering, data science, business, or related field.
- 8+ years of progressive experience in digital transformation, intelligent automation, or technology delivery.
- 3+ years of experience leading AI or automation programs.
- Proven experience taking initiatives from discovery and proof of concept through production deployment.
- Strong knowledge of generative AI, machine learning, AI agents, RPA, process mining, and API integrations.
- Practical understanding of responsible AI, model risk, data governance, and third-party risk management.
- Experience developing business cases, managing portfolios, and leading cross-functional teams.
- Experience with Microsoft technologies (Azure AI, Microsoft Fabric, Power Platform, Copilot Studio) is preferred.
- Experience in aerospace, defense, aviation, MRO, or regulated industries is strongly preferred.
- Familiarity with NIST AI Risk Management Framework, ISO/IEC 42001, and cybersecurity standards.
- Ability to influence executives and translate complex technical requirements for non-technical stakeholders.
- Professional fluency in English.
Responsibilities
- Develop and execute a multi-year AI and intelligent automation strategy aligned with enterprise architecture and business goals.
- Establish and manage a portfolio covering generative AI, machine learning, AI agents, and robotic process automation.
- Lead the design, development, testing, deployment, and ongoing optimization of production AI and automation solutions.
- Develop responsible AI governance, including risk classifications, auditability, and human oversight controls.
- Partner with cybersecurity, legal, and safety teams to manage risks involving sensitive, proprietary, and regulated data.
- Build and lead a multidisciplinary team spanning automation development, business analysis, and AI engineering.
- Manage delivery roadmaps, budgets, technology vendors, and service levels.
- Establish AI literacy programs and cross-functional training to support adoption across the organization.
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