Vice President, Data & AI Engineering
关于 Powerfleet Powerfleet （纳斯达克：AIOT;JSE:PWR）是人工智能物品 (AIoT) 软件即服务 (SaaS) 手机资产行业的全球领导者。拥有30多年的经验，Powerfleet 通过摄入，协调和集成数据不论来源统一了商业运营，并提供可行的见解来帮助公司实现其安全，合规性，效率和可持续发展战略目标。我们的人员优先文化和无情创新使客户能够实现可测量，可持续的商业改进。总结：Powerfleet 正在寻找一名数据和人工智能工程副总裁，负责领导企业数据与人工智能能力的战略，架构和执行。该领导者将帮助建立能够实现基于数据产品，人工智能创新和整个业务生产率更高的技术基础.VP 将在数据工程，AI/ML,GenAI,人工智能的平台和智能自动化领域领导团队，密切合作于产品，工程，IT,安全和商业领袖。该角色将平衡战略领导与执行，帮助 Powerfleet 从实验转移到可扩展，安全和生产准备的解决方案。关键责任 · 定义并执行 Powerfleet 数据和人工智能工程策略，路线图以及优先事项符合业务和产品目标。· 为企业数据，AI/ML,GenAI 和人工智能的应用建立可扩展的，安全和经济高效的架构。· 建立一个支持分析，机器学习，实时智能和人工智力使用案例的强大的数据基础，促进共同平台，可重复使用服务，API 和工程实践，同时使团队创新。· 咨询新兴 AI 能力，机遇，风险和技术投资的执行领导。· 领导人工智能/ML,GenAI,AI 代理人，智能自动化及相关技术方面的发展和采用能力，并建立使团队能够从实验中转移到生产中的人工智能解决方案的实际框架和平台。· 先进 MLOps/LLMOps,模型评估，可观察性，治理和其他需要以规模可靠运行人工智能的能力。· 构建和领导高性能全球。
查看英文原文
About Powerfleet Powerfleet (Nasdaq: AIOT; JSE: PWR) is a global leader in the artificial intelligence of things (AIoT) software-as-a-service (SaaS) mobile asset industry. With more than 30 years of experience, Powerfleet unifies business operations through the ingestion, harmonization, and integration of data—regardless of source—and delivers actionable insights to help companies meet their strategic objectives around Safety, Compliance, Efficiency and Sustainability. Our people-first culture and relentless innovation empower customers to achieve measurable, sustainable business improvements. Powerfleet serves over 2.6 million subscribers across more than 48,000 customers in 120 countries, with commercial operations across every major continent.
Position Summary
Powerfleet is seeking a Vice President, Data & AI Engineering to lead the strategy, architecture, and execution of our enterprise Data & AI capabilities. This leader will help build the technology foundations that enable data-driven products, AI innovation, and greater productivity across the business.
The VP will lead teams across data engineering, AI/ML, GenAI, AI platforms, and intelligent automation, working closely with Product, Engineering, IT, Security, and business leaders. The role will balance strategic leadership with execution, helping Powerfleet move AI capabilities from experimentation into scalable, secure, and production-ready solutions.
Key Responsibilities
- 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 that supports analytics, machine learning, real-time intelligence, and AI use cases, promoting common platforms, reusable services, APIs, and engineering practices while enabling teams to innovate
- Advise executive leadership on emerging AI capabilities, opportunities, risks, and technology investments.
- Lead the development and adoption of capabilities across AI/ML, GenAI, AI agents, intelligent automation, and related technologies and establish practical frameworks and platforms that enable teams to move AI solutions from experimentation into production.
- Advance MLOps/LLMOps, model evaluation, observability, governance, and other capabilities needed to operate AI reliably at scale.
- Build and lead a high-performing global Data & AI engineering organization across relevant disciplines and geographies.
- Partner with Security, Legal, Privacy, Risk, and other stakeholders to establish appropriate AI governance and responsible AI practices.
- Establish appropriate metrics for platform adoption, engineering productivity, reliability, cost efficiency, and AI impact and manage technology investments, strategic vendors, and build-versus-buy decisions within the Data & AI domain.
- Communicate strategy, progress, opportunities, and risks effectively to executive leadership and key stakeholders.
Qualifications
- 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 the ability to work effectively with both technical and non-technical stakeholders.
- Bachelor’s degree in computer science, Engineering, Data Science, or a related field; advanced degree preferred.
The annual salary range for this full-time position is $270,000-$300,000 USD. Actual compensation within this range will be determined based on the candidate’s experience, skills, and location.
Equal Employment Opportunity Statement
Powerfleet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law. We believe that diverse perspectives drive innovation and success, and we’re proud to be a workplace that reflects the communities we serve.
Originally posted on Himalayas