
1001 - 5000 employees
Founded 1993
📦 Logistics
💼 Consulting
🤖 Artificial Intelligence
Logistics • Consulting • Artificial Intelligence
Powerfleet is a global AIoT and SaaS-based mobile asset management company that provides end-to-end solutions to monitor, manage, and optimize connected vehicles and warehouse assets. The company ingests and harmonizes data from diverse sources to deliver actionable insights that improve safety, efficiency, and sustainability across the supply chain. Powerfleet serves millions of subscribers and thousands of enterprise customers worldwide, positioning itself as a B2B technology provider for intelligent mobility and operational optimization.
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1001 - 5000 employees
Founded 1993
📦 Logistics
💼 Consulting
🤖 Artificial Intelligence
Logistics • Consulting • Artificial Intelligence
Powerfleet is a global AIoT and SaaS-based mobile asset management company that provides end-to-end solutions to monitor, manage, and optimize connected vehicles and warehouse assets. The company ingests and harmonizes data from diverse sources to deliver actionable insights that improve safety, efficiency, and sustainability across the supply chain. Powerfleet serves millions of subscribers and thousands of enterprise customers worldwide, positioning itself as a B2B technology provider for intelligent mobility and operational optimization.
• Partner with business and functional leaders across Sales, Marketing, Finance, HR, Product, Operations, Customer Success, and Technology to identify, evaluate, and prioritize AI opportunities • Build and maintain an enterprise portfolio of AI use cases • Support prioritization, sequencing, and execution of initiatives within the enterprise AI transformation roadmap • Help move AI initiatives from ideas and experimentation toward adoption, scale, and measurable business outcomes • Partner with AI Transformation leadership to establish and evolve the AI Center of Excellence • Develop practical frameworks, playbooks, best practices, and knowledge-sharing mechanisms for responsible AI adoption • Help develop and operationalize AI governance frameworks, standards, and processes • Coordinate major cross-functional AI transformation initiatives with objectives, milestones, owners, dependencies, and outcomes • 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 • Advise organizational leaders on AI opportunities, adoption, transformation, and value realization • Help establish an enterprise culture of responsible AI adoption and experimentation • Identify and scale successful AI use cases, patterns, and best practices across functions and geographies
• 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
• People-first, inclusive workplace culture • Responsible AI adoption and experimentation through communication, education, and enablement • Equal opportunity employment environment • Diversity, equity, and inclusion commitment
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