Vice President, Data & AI Engineering

Powerfleet

United States

On-site

USD 270,000 - 300,000

Full time

34 hours ago
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Job summary

Powerfleet seeks a Vice President, Data & AI Engineering to lead enterprise Data & AI capabilities, defining strategy and execution across data, AI platforms, and intelligent automation. You’ll balance strategic leadership with hands-on delivery, moving AI from experimentation to scalable, secure production.

You will oversee data engineering, AI/ML, GenAI, and AI platforms, partnering with Product, IT, Security, and business leaders to deliver value at scale.

Qualifications

  • 15+ years in technology/engineering with data, software, cloud, or AI
  • 7+ years leading engineering teams, global or distributed
  • Experience building enterprise data and AI platforms and roadmaps
  • Strong understanding of data platforms, cloud, distributed systems, AI/ML
  • Familiarity with GenAI patterns: LLMs, RAG, agents, orchestration, observability

Responsibilities

  • Define and execute Data & AI engineering strategy, roadmap, and priorities.
  • Establish scalable, secure architectures for data, AI/ML, GenAI, and AI-enabled apps.
  • Build data foundations supporting analytics, ML, real-time intelligence.
  • Advise executives on AI capabilities, risks, and investments.
  • Lead development and adoption of AI capabilities and platforms.
  • Advance MLOps/LLMOps, evaluation, observability, governance.
  • Build and lead a global Data & AI engineering org.
  • Partner with Security, Legal, Privacy, Risk on AI governance.
  • Establish metrics for adoption, productivity, reliability, and cost.
  • Communicate strategy and progress to leadership.

Skills

Leadership
Enterprise data
Cloud platforms
GenAI patterns
Executive communication

Education

Bachelor’s degree in CS/Engineering/Data Science
Advanced degree preferred

Tools

Cloud technologies

Job description

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.

Powerfleet (Nasdaq: AIOT; JSE: PWR) is a global leader in AIoT (Artificial Intelligence of Things) and SaaS-based mobile asset management. With over 30 years of expertise, we empower organizations worldwide to unify operations by ingesting, harmonizing, and integrating data from any source—transforming it into actionable insights that save lives, time, and money.

Our end-to-end solutions help businesses monitor, manage, and optimize everything from warehouse assets to connected vehicles, driving safety, efficiency, and sustainability across the supply chain. But we are more than just a technology company—our people-centric approach fosters innovation and long-term success for our customers.

Powerfleet serves over 2.6 million subscribers across 48,000 customers in 120 countries, with commercial operations spanning every major continent. Join us as we shape the future of intelligent mobility and business transformation.

Equal Employment Opportunity Statement

Powerfleet is committed to maintaining a diverse, equitable, and inclusive workplace where all individuals are treated with dignity and respect. Employment decisions are based on qualifications, merit, and business needs. We do not discriminate or tolerate harassment on any protected basis under applicable laws in the countries where we operate, including characteristics such as race, ethnicity, nationality, religion, gender, gender identity or expression, sexual orientation, disability, or age.

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