# Powerfleet — Vice President, Data & AI Engineering

- Generated: 2026-09-03 07:32:41 PM EDT
- Original/canonical posting: https://careers.powerfleet.com/jobs/8303570-vice-president-data-ai-engineering
- LinkedIn alert posting: https://www.linkedin.com/jobs/view/4460626230/
- LinkedIn job ID: 4460626230
- Provider: Powerfleet careers / Teamtailor; LinkedIn alert source
- Company: Powerfleet
- Title: Vice President, Data & AI Engineering
- Work model/location: Fully Remote — United States
- Posting age at retrieval: 2 days ago (exact timestamp not publicly exposed)
- Applicants: 150 applicants
- Compensation: $270,000-$300,000 USD annually (the source renders the low end as `$270,00`)
- Travel: Not disclosed
- Positioning track: Executive leader
- Capability fit score before hard-gap decision: 96.8%
- Fit outcome: FAIL

## Central mandate

Lead Powerfleet's enterprise Data & AI engineering strategy, architecture, organization, and execution across data platforms, AI/ML, GenAI, agents, intelligent automation, MLOps/LLMOps, observability, governance, and scalable production delivery.

## Fit decision

FAIL. LinkedIn displays **150 applicants**, exceeding Keith's standing ceiling of 90. This is an operational hard gate, so no resume, cover letter, or LinkedIn connection note is generated without an explicit override. Before the hard-gap decision, Keith's source-supported capabilities cover 96.8% of the weighted requirements.

## Weighted evidence map

| Requirement | Weight | Evidence score | Evidence |
|---|---:|---:|---|
| Define and execute enterprise Data & AI engineering strategy and roadmap | 3 | 3 | Direct strategy, roadmap, architecture, and execution ownership at Intelligent DataWorks, NorthBay, TriMark, MassMutual, and AWS. |
| Build scalable enterprise data, AI/ML, GenAI, and AI-platform architecture | 3 | 3 | Architected AssistX as a reusable production GenAI platform and delivered enterprise data lakes, distributed systems, cloud platforms, APIs, and applied-ML systems. |
| Move GenAI, RAG, agents, evaluation, observability, and MLOps into production | 3 | 3 | Built a production platform with LLMs, RAG, LangChain, LangGraph, AI agents, evaluation, observability, governance, and MLOps; shipped the initial release in eight months. |
| Build and lead high-performing global or distributed engineering teams | 3 | 3 | Built and directly led an 11-engineer AI team, a seven-person AWS engineering/analytics function, distributed engineering teams, and AWS global technical communities of 80+ and 100 members. |
| Establish responsible-AI governance with Security, Legal, Privacy, and Risk | 2 | 3 | Led MassMutual AI-governance and privacy architecture covering transparency, bias, drift, auditability, policy automation, CCPA, CPRA, and GDPR. |
| Manage platform metrics, technology investments, vendors, and build-versus-buy decisions | 2 | 2 | Direct roadmap, funding, platform adoption, delivery-metric, partnership, and product investment evidence is documented; formal budget size and vendor portfolio scope are not quantified. |
| 15+ years across data, software, cloud, platform, or AI engineering | 3 | 3 | More than 25 years of relevant engineering and AI experience, including four years at AWS and current hands-on production GenAI platform leadership. |
| Executive communication across technical and non-technical stakeholders | 2 | 3 | Advised 200+ AWS enterprise customers, influenced C-suite and VP stakeholders, and delivered 50+ technical conference presentations and workshops. |

Weighted result: 61 of 63 possible points = 96.8%.

## Direct-match strengths

- Strong executive-level AI/data strategy, architecture, platform delivery, governance, and engineering-organization leadership.
- Direct production GenAI, RAG, agents, MLOps, observability, cloud, data-platform, API, and distributed-systems evidence.
- Quantified outcomes include 70+ AI automations across 20+ workflows, an eight-month production release, up to 50x workflow acceleration, a 60x reporting improvement, and 200+ AWS enterprises advised.

## Hard and material gaps

- Hard constraint: LinkedIn displays 150 applicants; Keith's ceiling requires skipping any role whose JD page displays 90 or more applicants.
- Formal budget size and strategic-vendor portfolio scope are not quantified in the candidate sources, though investment, funding, partnership, and build-versus-buy work is documented.
- Work model/location pass: the employer's exact canonical posting explicitly says United States and Fully Remote.
- Compensation passes: the listed range reaches $300,000.
- Travel is undisclosed and is not treated as a failure.

## Artifact decision and metadata

- Archived JD capture: https://files.keithsteward.com/Powerfleet/Keith_Steward_Vice_President_Data_AI_Engineering_4460626230_JD_capture.md
- Resume: not generated because the fit gate returned FAIL and no override was supplied.
- Cover letter: not generated because the fit gate returned FAIL and no override was supplied.
- LinkedIn connection note: not generated because the skill prohibits one for FAIL roles.
- Google Drive used: no.

## Full normalized job description

Vice President, Data & AI Engineering - Powerfleet
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United States
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Fully Remote
Vice President, Data & AI Engineering
Join Powerfleet as VP, Data & AI Engineering: lead global teams, build secure foundations, and turn data, AI, and GenAI innovation into scalable business impact.
Apply Today!
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 $270,00-$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.
Locations
United States
Remote status
Fully Remote
Employment type
Full-time
Contact
Kylah Sellin Schueller
Global Director Talent Managment
         – 
        Human Resources
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About Powerfleet
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.
Apply Today!
United States
·
Fully Remote
Vice President, Data & AI Engineering
Join Powerfleet as VP, Data & AI Engineering: lead global teams, build secure foundations, and turn data, AI, and GenAI innovation into scalable business impact.
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