Vice President, Data & AI Engineering

🕒 3 days ago

🇺🇸 United States – Remote

💵 $270k - $300k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 0%

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Powerfleet

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Define and execute Powerfleet’s Data & AI engineering strategy, roadmap, and priorities in alignment with business and product objectives • Establish scalable, secure, and cost-effective architectures for enterprise data, AI/ML, GenAI, and AI-enabled applications • Build a strong data foundation supporting analytics, machine learning, real-time intelligence, and AI use cases • Promote common platforms, reusable services, APIs, and engineering practices while enabling innovation • Advise executive leadership on emerging AI capabilities, opportunities, risks, and technology investments • Lead development and adoption of AI/ML, GenAI, AI agents, intelligent automation, and related technologies • Establish frameworks and platforms to move AI solutions from experimentation into production • Advance MLOps/LLMOps, model evaluation, observability, governance, and capabilities for reliable AI at scale • Build and lead a high-performing global Data & AI engineering organization across disciplines and geographies • Partner with Security, Legal, Privacy, Risk, and other stakeholders on AI governance and responsible AI practices • Establish metrics for platform adoption, engineering productivity, reliability, cost efficiency, and AI impact • Manage technology investments, strategic vendors, and build-versus-buy decisions within the Data & AI domain • Communicate strategy, progress, opportunities, and risks to executive leadership and key stakeholders

🎯 Requirements

• 15+ years of experience in technology or engineering, with significant experience across data, software, cloud, platform, or AI engineering • 7+ years of leadership experience building and leading engineering teams, preferably in global or distributed organizations • Experience developing enterprise data and AI platforms, architectures, and engineering strategies • Strong understanding of modern data platforms, cloud technologies, data engineering, distributed systems, AI/ML, and software engineering • Familiarity with modern GenAI patterns such as LLMs, RAG, agents, orchestration, evaluation, and AI observability • Strong executive communication and ability to work effectively with technical and non-technical stakeholders • Bachelor’s degree in computer science, Engineering, Data Science, or a related field • Advanced degree preferred