ML/LLM and GenAI specialist industrializing secure AI capabilities for Desjardins Group. Building governed, monitored and production - ready LLMOps solutions in a cloud environment.
About the role
- Senior Director driving enterprise AI strategy, governance, and adoption at Powerfleet, a global AIoT SaaS company. Leading cross-functional initiatives toward measurable business impact.
Responsibilities
- Partner with business and functional leaders to identify, evaluate, and prioritize AI opportunities across Sales, Marketing, Finance, HR, Product, Operations, Customer Success, and Technology
- Build and maintain an enterprise portfolio of AI use cases
- Support prioritization, sequencing, and execution of initiatives within the AI transformation roadmap
- Move AI initiatives from ideas and experimentation toward adoption, scale, and measurable business outcomes
- Establish and evolve the AI Center of Excellence with frameworks, playbooks, best practices, and knowledge-sharing mechanisms
- Develop and operationalize AI governance frameworks, standards, and processes with Technology, Security, Legal, Privacy, Risk, and business stakeholders
- Lead coordination of major cross-functional AI transformation initiatives
- Establish objectives, milestones, owners, dependencies, outcomes, and execution momentum
- Establish metrics tracking AI adoption, productivity, business impact, and value realization
- Support executive reviews of AI initiatives, progress, risks, opportunities, and outcomes
- Evaluate build-versus-buy opportunities and identify technologies, platforms, and strategic partners
- Prepare and present AI transformation strategies, roadmaps, use cases, recommendations, progress, and business outcomes to executive leadership
- Translate complex AI concepts and emerging technologies into practical business opportunities
- Facilitate decision-making across business, product, technology, and executive stakeholders
- Act as a trusted advisor on AI opportunities, adoption, transformation, and value realization
- Establish a culture of responsible AI adoption and experimentation through communication, education, and enablement
- Identify and scale successful AI use cases, patterns, and best practices across functions and geographies
Requirements
- 10+ years of experience in technology, digital transformation, strategy, consulting, product, operations, or related disciplines
- Meaningful experience working with AI or emerging technologies
- Strong understanding of AI, GenAI, automation, and emerging AI capabilities and their practical business applications
- Experience identifying, evaluating, prioritizing, and executing technology or AI use cases based on business value and feasibility
- Experience developing executive-level presentations, recommendations, roadmaps, and business cases
- Familiarity with AI governance, responsible AI, data privacy, security, and enterprise technology considerations
- Bachelor’s degree in business, Computer Science, Engineering, Data Science, or a related field
- Advanced degree preferred
Benefits
- Eligibility for additional variable compensation
- Inclusive and accessible workplace
- People-first, people-centric culture
- Equal employment opportunity commitment
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