Remote Head of Data and AI Jobs
Remote Head of Data and AI jobs are open across the U.S. in sectors like technology, financial services, healthcare, and enterprise software, at remote-first companies and distributed teams that have made async data leadership central to how they operate. Employers hiring remotely right now include University of San Diego, Enlyte, and Octave. See the openings below and apply to the ones that match your experience.
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Overview
As an Artificial Intelligence Engineer, you’ll turn data into practical AI solutions. You’ll build, test, and deploy machine learning models, partnering with research and analytics teams to address real-world needs. Your work will support reliable, scalable applications, from predictive modeling to natural language processing and generative AI.
Your impact: By developing and evaluating useful AI models, you’ll help teams make better-informed decisions and deliver more relevant data-driven services.
Duties
- Prepare data pipelines, including extract, transform, and load (ETL) processes, data mining, and linked data integration.
- Train, evaluate, and deploy machine learning models using Python, TensorFlow, and other machine learning frameworks.
- Apply statistical modeling, statistical analysis, unsupervised learning, and predictive modeling to research and product questions.
- Build scalable solutions with cloud machine learning services, big data systems, Hadoop, and Spark; support Spark implementation and AI implementation.
- Collaborate on database design, SQL databases, analytics, and data analytics; document model performance and deployment decisions.
Requirements
- Experience with machine learning, AI, model training, model evaluation, and machine learning/AI-based analysis.
- Working knowledge of Python and SQL; experience with AWS and TensorFlow is useful.
- Familiarity with statistical analysis tools and research methods; SAS, R, Looker, and VBA are relevant tools.
- Exposure to Java, C, Bash (Unix shell), Talend, big data, and scalability is helpful.
- Interest or experience in generative AI, natural language processing, and quantum engineering is welcome; related skills are preferred, not all required.
Pay: $120,000.00 - $150,000.00 per year
Work Location: Remote
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Find JobsRemote Head of Data and AI Job Market
Who's Hiring
Top Industries Hiring
- Education
- Insurance
- Automotive
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote head of data and AI jobs.
- 10 or more years of experience leading data and analytics or machine learning teams
- Proven ability to define and execute enterprise data strategy aligned to business objectives
- Hands-on experience with cloud data platforms such as AWS, Azure, or Google Cloud
- Strong command of modern data stack tools including data warehouses, orchestration, and BI layers
- Experience building and managing cross-functional teams of data scientists, engineers, and analysts
- Familiarity with AI governance, data privacy regulations, and responsible AI frameworks
Tips for Your Remote Head of Data and AI Job Search
Apply early to remote roles that fit
Migrate Mate lists remote head of data and ai openings from across the U.S. in one place. Search roles by function and apply directly to the ones that match your leadership scope and industry background before competition builds.
Show async leadership in your materials
Remote employers at this level want to see how you lead distributed teams without being in the room. Document specific examples of steering AI strategy through written memos, async video updates, or decision frameworks your team can execute independently.
Demonstrate cross-functional AI program delivery
Remote head of data and ai roles require influencing product, engineering, and finance leaders without face-to-face leverage. Highlight initiatives where you shipped AI programs by aligning stakeholders asynchronously, using tools like Notion, Confluence, or structured Slack channels to drive decisions.
Prepare for distributed-team interview formats
Remote interviews at the head of data and ai level often include a strategy presentation delivered async or via video, plus written case questions on data org design. Practice articulating AI roadmap decisions in writing as clearly as you would in a live board setting.
Remote Head of Data and AI Jobs: Frequently Asked Questions
How do I get a remote head of data and ai job?
Remote employers hiring at this level screen for executives who can align data and AI strategy across distributed teams without in-person oversight. Strong written communication, a history of shipping AI initiatives asynchronously, and the ability to influence engineering and product leadership through documentation and async channels all sharpen your candidacy. Remote-first companies and scale-ups with distributed data teams hire most actively at this level, and candidates who can demonstrate cross-functional AI program delivery in a remote context stand out.
Which companies hire remote head of data and ais?
Employers currently hiring remote head of data and ais include University of San Diego, Enlyte, and Octave, per current remote listings on Migrate Mate as of November 2026. Remote-first technology firms, enterprise SaaS companies, and distributed fintech and healthcare organizations account for the largest share of these openings.
Can you get a remote head of data and ai job with no experience?
Yes, but remote head of data and ai roles are senior by definition, so entry without direct leadership experience is uncommon. Early-career candidates can build toward this level by leading data or AI workstreams on distributed teams, contributing to open-source AI projects with documented impact, and demonstrating the async leadership and stakeholder communication that remote employers weight heavily when evaluating readiness for this role.
Do you need a degree for remote head of data and ai jobs?
Not always. Remote employers at this level care far more about a demonstrated record of building data platforms, shipping AI products, and influencing company strategy than about the credential behind it. A portfolio of real-world AI initiatives, measurable business outcomes, and the ability to lead distributed technical teams carries more weight with most hiring teams than a specific degree field.
Which industries hire the most remote head of data and ais?
The sectors hiring the most remote head of data and ais are Education, Insurance, and Automotive, based on current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed data and AI teams operating across multiple time zones, which makes remote leadership at this level a structural fit rather than an exception.
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