Remote Head of Data Jobs
Remote Head of Data jobs are in active demand across the U.S., with remote-first firms and distributed teams hiring for this role in technology, fintech, healthcare, and e-commerce. Employers hiring remotely right now include 6sense, Octave, and Drivenets. Find a role that fits below and apply directly.
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Head of Data Center and Capacity Partnerships, AI Infrastructure
DriveNets, AI Business Unit. Remote US-based preferred; frequent travel.
#LI-Remote
About the Company
DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure.
The Role
DriveNets builds the networking fabric and services behind large AI clusters for neoclouds, AI companies and enterprises. As our AI business scales, the relationships that matter most sit with the people who control compute and data center capacity: data center operators and developers, colocation and power providers, and the clouds building on top of them.
We are hiring a senior partner to own those relationships. This is a relationships-first role: your network in the AI data center world is your most valuable asset. You will know where capacity exists and is being built, who controls it, when it is ready and what it costs, and you will use that knowledge to help our customers and partners get clusters built faster.
This is not a procurement or supply chain role. You need to be able to pick up the phone and get a straight answer on megawatts, timing and price, structure the partnership that follows, and stay close to the deal through deployment.
Responsibilities
- Build and maintain partnerships with data center operators and developers, colocation and power providers, and neoclouds across the geographies our customers need.
- Keep a current, accurate picture of available and upcoming capacity: power, space, ready dates and commercial terms.
- Work with our sales team and executives to connect capacity with customers that need it, and respond quickly to urgent “can you find me capacity” requests.
- Structure and negotiate partnership agreements with capacity providers, within guidelines set with leadership.
- Bring data center partners into customer engagements alongside our silicon and server partners, and keep the relationship through deployment and expansion.
- Provide market intelligence to leadership on where AI capacity is being built, by whom, and on what economics.
Who you are
- Established, direct relationships with data center operators and developers, colocation and power providers, and neoclouds, with a proven record of sourcing capacity (MW or GPUs) through them.
- Deep, current knowledge of the AI data center landscape: where capacity exists, who controls it, what it costs, and how to reach capacity before it is widely available.
- Commercial judgment to structure and negotiate partnership agreements.
- Technical understanding to talk credibly with engineers about power, cooling, site readiness, GPU types and cluster requirements.
- Deal-making instinct: you understand what each party in an infrastructure deal needs in order to say yes.
- Organized and fast: you can track dozens of providers with accurate availability and pricing, and respond to urgent requests in hours.
- A clear communicator across providers, customers, executives and internal teams.
- Stability and long-term thinking: this is a relationship business.
Preferred
- Experience at a neocloud, GPU aggregator or marketplace, data center developer or colocation provider where capacity availability was the constraint.
- Existing relationships with the major neoclouds and with the cloud partner ecosystems of the leading AI silicon vendors.
- Knowledge of bare-metal data center operations, power procurement and capacity planning.
- Understanding of GPU types, specifications and AI/ML workload requirements.
- High-growth startup background.
Requirements:
- Established, direct relationships with data center operators and developers, colocation and power providers, and neoclouds, with a proven record of sourcing capacity (MW or GPUs) through them.
- Deep, current knowledge of the AI data center landscape: where capacity exists, who controls it, what it costs, and how to reach capacity before it is widely available.
- Commercial judgment to structure and negotiate partnership agreements.
- Technical understanding to talk credibly with engineers about power, cooling, site readiness, GPU types and cluster requirements.
- Deal-making instinct: you understand what each party in an infrastructure deal needs in order to say yes.
- Organized and fast: you can track dozens of providers with accurate availability and pricing, and respond to urgent requests in hours.
- A clear communicator across providers, customers, executives and internal teams.
- Stability and long-term thinking: this is a relationship business.
Preferred/Advantage
- Experience at a neocloud, GPU aggregator or marketplace, data center developer or colocation provider where capacity availability was the constraint.
- Existing relationships with the major neoclouds and with the cloud partner ecosystems of the leading AI silicon vendors.
- Knowledge of bare-metal data center operations, power procurement and capacity planning.
- Understanding of GPU types, specifications and AI/ML workload requirements.
- High-growth startup background.
More About DriveNets
Based in Israel with locations in Romania, US, India and Japan as well as extended teams, DriveNets operations cover more than twelve countries. With recognition by industry analysts and through partnerships with market leaders such as AMD, Broadcom, Dell and others, DriveNets is pushing market momentum, delivering the scale and efficiency that modern AI workloads demand. Visit our website: https://drivenets.com/company/
Head of Data Center and Capacity Partnerships, AI Infrastructure
DriveNets, AI Business Unit. Remote US-based preferred; frequent travel.
#LI-Remote
About the Company
DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure.
The Role
DriveNets builds the networking fabric and services behind large AI clusters for neoclouds, AI companies and enterprises. As our AI business scales, the relationships that matter most sit with the people who control compute and data center capacity: data center operators and developers, colocation and power providers, and the clouds building on top of them.
We are hiring a senior partner to own those relationships. This is a relationships-first role: your network in the AI data center world is your most valuable asset. You will know where capacity exists and is being built, who controls it, when it is ready and what it costs, and you will use that knowledge to help our customers and partners get clusters built faster.
This is not a procurement or supply chain role. You need to be able to pick up the phone and get a straight answer on megawatts, timing and price, structure the partnership that follows, and stay close to the deal through deployment.
Responsibilities
- Build and maintain partnerships with data center operators and developers, colocation and power providers, and neoclouds across the geographies our customers need.
- Keep a current, accurate picture of available and upcoming capacity: power, space, ready dates and commercial terms.
- Work with our sales team and executives to connect capacity with customers that need it, and respond quickly to urgent “can you find me capacity” requests.
- Structure and negotiate partnership agreements with capacity providers, within guidelines set with leadership.
- Bring data center partners into customer engagements alongside our silicon and server partners, and keep the relationship through deployment and expansion.
- Provide market intelligence to leadership on where AI capacity is being built, by whom, and on what economics.
Who you are
- Established, direct relationships with data center operators and developers, colocation and power providers, and neoclouds, with a proven record of sourcing capacity (MW or GPUs) through them.
- Deep, current knowledge of the AI data center landscape: where capacity exists, who controls it, what it costs, and how to reach capacity before it is widely available.
- Commercial judgment to structure and negotiate partnership agreements.
- Technical understanding to talk credibly with engineers about power, cooling, site readiness, GPU types and cluster requirements.
- Deal-making instinct: you understand what each party in an infrastructure deal needs in order to say yes.
- Organized and fast: you can track dozens of providers with accurate availability and pricing, and respond to urgent requests in hours.
- A clear communicator across providers, customers, executives and internal teams.
- Stability and long-term thinking: this is a relationship business.
Preferred
- Experience at a neocloud, GPU aggregator or marketplace, data center developer or colocation provider where capacity availability was the constraint.
- Existing relationships with the major neoclouds and with the cloud partner ecosystems of the leading AI silicon vendors.
- Knowledge of bare-metal data center operations, power procurement and capacity planning.
- Understanding of GPU types, specifications and AI/ML workload requirements.
- High-growth startup background.
Requirements:
- Established, direct relationships with data center operators and developers, colocation and power providers, and neoclouds, with a proven record of sourcing capacity (MW or GPUs) through them.
- Deep, current knowledge of the AI data center landscape: where capacity exists, who controls it, what it costs, and how to reach capacity before it is widely available.
- Commercial judgment to structure and negotiate partnership agreements.
- Technical understanding to talk credibly with engineers about power, cooling, site readiness, GPU types and cluster requirements.
- Deal-making instinct: you understand what each party in an infrastructure deal needs in order to say yes.
- Organized and fast: you can track dozens of providers with accurate availability and pricing, and respond to urgent requests in hours.
- A clear communicator across providers, customers, executives and internal teams.
- Stability and long-term thinking: this is a relationship business.
Preferred/Advantage
- Experience at a neocloud, GPU aggregator or marketplace, data center developer or colocation provider where capacity availability was the constraint.
- Existing relationships with the major neoclouds and with the cloud partner ecosystems of the leading AI silicon vendors.
- Knowledge of bare-metal data center operations, power procurement and capacity planning.
- Understanding of GPU types, specifications and AI/ML workload requirements.
- High-growth startup background.
More About DriveNets
Based in Israel with locations in Romania, US, India and Japan as well as extended teams, DriveNets operations cover more than twelve countries. With recognition by industry analysts and through partnerships with market leaders such as AMD, Broadcom, Dell and others, DriveNets is pushing market momentum, delivering the scale and efficiency that modern AI workloads demand. Visit our website: https://drivenets.com/company/
See All 6 Remote Head of Data Jobs
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Find Remote Head of Data JobsRemote Head of Data Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote head of data jobs.
- 7 or more years of experience in data analytics, data engineering, or business intelligence
- Proven experience managing and growing a data team of analysts, engineers, or scientists
- Advanced SQL and proficiency with at least one major cloud data platform such as Snowflake, BigQuery, or Databricks
- Demonstrated ability to build and execute a data strategy aligned to company-wide business goals
- Experience with data governance frameworks, data quality standards, and privacy compliance
- Bachelor's or master's degree in a quantitative field such as computer science, statistics, or mathematics
Tips for Your Remote Head of Data Job Search
Apply early to remote roles that fit
Migrate Mate lists remote head of data openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sifting through mixed location results.
Show async leadership in your application
Remote employers evaluating a head of data want proof you can drive data strategy without being in the room. Include writing samples, strategy documents, or roadmaps you've authored and shipped independently, not just team outcomes you were part of.
Highlight your modern data stack fluency
Remote-first companies expect a head of data to get technical decisions made without a whiteboard session. Name the specific tools you own, dbt, Snowflake, Looker, or similar, and describe decisions you made about stack architecture, not just usage.
Prepare for async-heavy interview processes
Many distributed teams run head of data interviews across time zones, mixing recorded video responses, written case studies, and async take-homes before any live call. Practice articulating data strategy clearly in writing and in short recorded formats before your first screen.
Remote Head of Data Jobs: Frequently Asked Questions
How do I get a remote head of data job?
Remote head of data roles go to candidates who can demonstrate strategic data leadership without day-to-day in-person oversight. Remote-first companies and distributed teams screen heavily for self-direction, clear written communication, and the ability to align data strategy across asynchronous stakeholders. Strong experience with modern data stack tools, cross-functional influence, and a portfolio of measurable data initiatives gives you a real edge over candidates who rely on proximity to get things done.
Which companies hire remote head of datas?
Employers currently hiring remote head of datas include 6sense, Octave, and Drivenets, per current remote listings on Migrate Mate as of November 2026. Remote-first technology companies, distributed fintech and healthtech firms, and SaaS businesses with globally spread engineering teams are the most consistent hirers of this role outside a physical office.
Can you get a remote head of data job with no experience?
Yes, but remote entry into this role is harder because you're expected to operate independently from day one without on-site mentorship. Early-stage startups and remote-first scale-ups occasionally hire first-time heads of data who can show strong individual contributor output, a clear data strategy they've written and shipped, and evidence of leading projects or people asynchronously. A public portfolio of data work and documented outcomes matters more than a title.
Do you need a degree for remote head of data jobs?
Not always. Many remote employers weigh demonstrated data leadership, technical depth, and business impact over formal credentials for this role. A history of building data infrastructure, leading analytics teams, and translating data into decisions carries more weight in a remote hiring process than a degree alone. Candidates without a traditional background succeed by showing concrete results and the communication skills remote work demands.
See All 6 Remote Head of Data Jobs
Find roles that match your experience and apply in just a few clicks.
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