Remote Director of Data Jobs
Remote director of data jobs are open across the U.S. in sectors like technology, healthcare, financial services, and media at remote-first companies and distributed enterprise teams. Organizations hiring remotely right now include Principal Financial, New York City Department of Health and Mental Hygiene, and MEM. Scan the live roles below and apply to whichever ones fit.
Find Remote Director of Data JobsOverview
Showing 5 of 26+ Remote Director of Data jobs
Actian is the company behind the Data Intelligence Platform — an enterprise solution that helps organisations discover, govern, and trust their data at scale. Our platform connects metadata, data lineage, data quality, and business context into a single knowledge graph, enabling enterprises to turn raw data into reliable decisions. We operate globally, move fast, and build for the long term.
Software engineering is being redefined. The engineers who will shape the next decade of product development are not the ones who write the most code — they are the ones who know how to think clearly, ship confidently, and use every tool available to them, including AI, to multiply their impact.
The Actian Data Intelligence Platform helps teams find, understand, and use AI-ready data under clear governance. It connects metadata, data lineage, data quality, and business context into a single knowledge graph, so enterprises can turn raw data into reliable decisions — the trusted foundation that AI agents increasingly depend on to work. We operate globally, move fast, and build for the long term.
The Data Intelligence Platform has to deploy, operate, and pass audits in every one of the environments our customers run — public cloud, private cloud, and on-premises. We are standing up a dedicated platform team to make that possible, and we are hiring the leader who will build it.
This is a hands-on director role. You will stand up and lead a newly formed platform team, hire and grow it, and build alongside it from day one: you will design the platform services, write infrastructure code, and set the engineering standards the rest of engineering relies on.
We are an AI-first engineering organization, and in this role AI is how the work gets done. AI agents run operational tasks, AI accelerates the team's own engineering, and AI replaces tools we pay for today but no longer need. You will also build the infrastructure that runs the AI and ML workloads inside our product.
What You Will Own:
Platform services for the Data Intelligence Platform, including the infrastructure behind the data catalog, the knowledge graph, and the APIs that power customer integrations.
Cloud-agnostic deployment of the Platform across AWS, a second public cloud (Azure or Google Cloud), and customer on-premises and private-cloud environments — including packaging, installation, upgrades, and supportability.
The internal developer platform and CI/CD, including GitOps delivery, so engineering teams ship safely and quickly.
Security operations and compliance evidence for SOC 2 Type II, ISO 27001, and GDPR — including EU data residency — in partnership with the security team.
Cloud cost management and FinOps, with clear cost visibility and accountability across every environment.
Infrastructure for the AI and ML workloads used by the Platform.
Observability, reliability, and incident response for the services the team runs, including the team's on-call rotation.
Building and growing the team — hiring platform engineers, setting the operating model, and establishing the standards and rituals the team works by.
What You Will Deliver in Your First 12 Months:
High-functioning platform team: an operating model in place, and clear ownership boundaries with the product engineering teams you serve.
Portable, cloud-agnostic deployments: one deployment model that runs the Platform on AWS, on at least one other cloud, and on customer infrastructure — defined as code and delivered through GitOps.
AI agents running operations: agents that handle routine operational work — triage, remediation, change validation, and reporting — with measurable reductions in manual effort and a smaller tool footprint.
Platform foundations for the data catalog, the knowledge graph, and integration APIs: scalable, observable infrastructure that product teams build on.
Compliance automation and audit readiness: evidence for SOC 2 Type II, ISO 27001, and GDPR collected automatically from the platform rather than assembled by hand before each audit.
We expect this leader to treat AI as part of the platform. That means you will:
Design and run AI agents that operate infrastructure under clear guardrails — human approval for high-risk changes, and full audit trails.
Review our current tooling and retire tools that AI agents or simpler automation can replace, with a cost and risk case for each change.
Use AI coding and operations assistants in your own daily work, and set the standard for how the team uses them.
Build the compute, data, and access patterns that let AI and ML workloads run reliably in every environment we support.
What You Bring:
10+ years in platform engineering, infrastructure, DevOps, or SRE, including 3+ years managing engineers — with experience building or scaling a team, not only running an established one.
AI-first mindset, making extensive use of this technology for accelerating developments.
A track record of shipping on-premises or self-hosted software that customers install and run in their own environments.
Deep, hands-on experience with Kubernetes in production, infrastructure as code (Terraform/Terragrunt), and GitOps delivery with Argo CD or similar tooling.
Strong AWS experience, and the judgment to design for portability rather than lock-in to a single cloud.
Hands-on experience operating systems under SOC 2, ISO 27001, and GDPR controls, including data-residency requirements.
Experience managing cloud costs and making cost trade-offs explicit to engineering and business leaders.
Clear written communication, suited to a fully remote team across US and EU time zones.
Nice to Have:
Experience running infrastructure for data platforms, data catalogs, or graph databases.
Production experience on Azure or Google Cloud in addition to AWS.
Experience with air-gapped or restricted-network customer deployments.
Experience building infrastructure for AI and ML workloads, including model serving and vector or graph data stores.
Observability with OpenTelemetry or comparable tooling, from instrumentation through alerting.
Privileged access management with StrongDM or a comparable tool.
What We Value:
How You Will Work:
You will report to the SVP of Engineering and work closely with product engineering, security, customer success, and support. The role is fully remote from the US, UK, Spain, France or Germany, with at least four hours a day of overlap with both US Eastern Time and Central European Time. Expect occasional travel for team offsites and company-wide meetings.
What We Offer:
- The chance to be part of an innovative, fast-growing company making a significant impact in the data management space.
- Collaboration with a passionate and diverse team.
- Competitive salary and benefits package.
- Flexible work arrangements (remote or hybrid).
- Opportunities for professional growth and development.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Actian is the company behind the Data Intelligence Platform — an enterprise solution that helps organisations discover, govern, and trust their data at scale. Our platform connects metadata, data lineage, data quality, and business context into a single knowledge graph, enabling enterprises to turn raw data into reliable decisions. We operate globally, move fast, and build for the long term.
Software engineering is being redefined. The engineers who will shape the next decade of product development are not the ones who write the most code — they are the ones who know how to think clearly, ship confidently, and use every tool available to them, including AI, to multiply their impact.
The Actian Data Intelligence Platform helps teams find, understand, and use AI-ready data under clear governance. It connects metadata, data lineage, data quality, and business context into a single knowledge graph, so enterprises can turn raw data into reliable decisions — the trusted foundation that AI agents increasingly depend on to work. We operate globally, move fast, and build for the long term.
The Data Intelligence Platform has to deploy, operate, and pass audits in every one of the environments our customers run — public cloud, private cloud, and on-premises. We are standing up a dedicated platform team to make that possible, and we are hiring the leader who will build it.
This is a hands-on director role. You will stand up and lead a newly formed platform team, hire and grow it, and build alongside it from day one: you will design the platform services, write infrastructure code, and set the engineering standards the rest of engineering relies on.
We are an AI-first engineering organization, and in this role AI is how the work gets done. AI agents run operational tasks, AI accelerates the team's own engineering, and AI replaces tools we pay for today but no longer need. You will also build the infrastructure that runs the AI and ML workloads inside our product.
What You Will Own:
Platform services for the Data Intelligence Platform, including the infrastructure behind the data catalog, the knowledge graph, and the APIs that power customer integrations.
Cloud-agnostic deployment of the Platform across AWS, a second public cloud (Azure or Google Cloud), and customer on-premises and private-cloud environments — including packaging, installation, upgrades, and supportability.
The internal developer platform and CI/CD, including GitOps delivery, so engineering teams ship safely and quickly.
Security operations and compliance evidence for SOC 2 Type II, ISO 27001, and GDPR — including EU data residency — in partnership with the security team.
Cloud cost management and FinOps, with clear cost visibility and accountability across every environment.
Infrastructure for the AI and ML workloads used by the Platform.
Observability, reliability, and incident response for the services the team runs, including the team's on-call rotation.
Building and growing the team — hiring platform engineers, setting the operating model, and establishing the standards and rituals the team works by.
What You Will Deliver in Your First 12 Months:
High-functioning platform team: an operating model in place, and clear ownership boundaries with the product engineering teams you serve.
Portable, cloud-agnostic deployments: one deployment model that runs the Platform on AWS, on at least one other cloud, and on customer infrastructure — defined as code and delivered through GitOps.
AI agents running operations: agents that handle routine operational work — triage, remediation, change validation, and reporting — with measurable reductions in manual effort and a smaller tool footprint.
Platform foundations for the data catalog, the knowledge graph, and integration APIs: scalable, observable infrastructure that product teams build on.
Compliance automation and audit readiness: evidence for SOC 2 Type II, ISO 27001, and GDPR collected automatically from the platform rather than assembled by hand before each audit.
We expect this leader to treat AI as part of the platform. That means you will:
Design and run AI agents that operate infrastructure under clear guardrails — human approval for high-risk changes, and full audit trails.
Review our current tooling and retire tools that AI agents or simpler automation can replace, with a cost and risk case for each change.
Use AI coding and operations assistants in your own daily work, and set the standard for how the team uses them.
Build the compute, data, and access patterns that let AI and ML workloads run reliably in every environment we support.
What You Bring:
10+ years in platform engineering, infrastructure, DevOps, or SRE, including 3+ years managing engineers — with experience building or scaling a team, not only running an established one.
AI-first mindset, making extensive use of this technology for accelerating developments.
A track record of shipping on-premises or self-hosted software that customers install and run in their own environments.
Deep, hands-on experience with Kubernetes in production, infrastructure as code (Terraform/Terragrunt), and GitOps delivery with Argo CD or similar tooling.
Strong AWS experience, and the judgment to design for portability rather than lock-in to a single cloud.
Hands-on experience operating systems under SOC 2, ISO 27001, and GDPR controls, including data-residency requirements.
Experience managing cloud costs and making cost trade-offs explicit to engineering and business leaders.
Clear written communication, suited to a fully remote team across US and EU time zones.
Nice to Have:
Experience running infrastructure for data platforms, data catalogs, or graph databases.
Production experience on Azure or Google Cloud in addition to AWS.
Experience with air-gapped or restricted-network customer deployments.
Experience building infrastructure for AI and ML workloads, including model serving and vector or graph data stores.
Observability with OpenTelemetry or comparable tooling, from instrumentation through alerting.
Privileged access management with StrongDM or a comparable tool.
What We Value:
How You Will Work:
You will report to the SVP of Engineering and work closely with product engineering, security, customer success, and support. The role is fully remote from the US, UK, Spain, France or Germany, with at least four hours a day of overlap with both US Eastern Time and Central European Time. Expect occasional travel for team offsites and company-wide meetings.
What We Offer:
- The chance to be part of an innovative, fast-growing company making a significant impact in the data management space.
- Collaboration with a passionate and diverse team.
- Competitive salary and benefits package.
- Flexible work arrangements (remote or hybrid).
- Opportunities for professional growth and development.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
See All 26 Remote Director of Data Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Director of Data JobsRemote Director of Data Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Animal Care & Pet Services
What Employers Look For
The qualifications that appear most often in remote director of data jobs.
- 7 or more years of experience in data, analytics, or data engineering roles
- Demonstrated leadership of a data team, including hiring and performance management
- Proficiency with cloud data platforms such as Snowflake, Databricks, or BigQuery
- Experience building or owning a company-wide data strategy or roadmap
- Strong SQL skills and familiarity with BI tools like Tableau or Looker
- Bachelor's or master's degree in a quantitative or technical field
Tips for Your Remote Director of Data Job Search
Signal async fluency in your application materials
Remote employers hiring a director of data prioritize candidates who communicate strategy clearly in writing. Your resume and any written submissions should demonstrate how you've aligned distributed teams through documentation, async updates, and written decision frameworks rather than in-person meetings.
Apply early to remote roles that fit
Migrate Mate lists remote director of data openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through location-filtered noise. Applying within the first few days of a posting going live increases your visibility significantly.
Show distributed team leadership concretely
Remote hiring managers want evidence you've led data teams that weren't physically co-located. Quantify the size of teams you've managed remotely, the tools you used to coordinate them, and the cross-functional outcomes you delivered without relying on in-person oversight.
Prepare for a remote-specific interview format
Remote director of data interviews often include an async take-home component or a written strategy brief in addition to video rounds. Practice articulating data strategy clearly in writing and over video, and be ready to walk through how you'd structure a distributed data organization from scratch.
Remote Director of Data Jobs: Frequently Asked Questions
How do I get a remote director of data job?
Target remote-first companies and distributed enterprise teams that have already built the infrastructure for async collaboration, since those employers are most likely to hire a director of data without expecting daily in-office presence. Remote hiring managers screen heavily for written communication, self-direction, and the ability to align distributed stakeholders on data strategy without relying on hallway conversations. Demonstrated experience leading data teams across time zones, strong documentation habits, and fluency with async collaboration tools give candidates a clear edge.
Which companies hire remote director of datas?
Companies hiring remote director of datas right now include Principal Financial, New York City Department of Health and Mental Hygiene, and MEM, based on current remote listings on Migrate Mate as of November 2026. Remote-first technology firms, distributed healthcare platforms, and digital financial services companies are among the most consistent sources of fully remote openings at this level.
Can you get a remote director of data job with no experience?
Yes, but remote director of data roles are harder to land without experience because employers expect you to operate with minimal oversight from day one. Remote-first startups and early-stage companies occasionally open this role to candidates who can show a strong portfolio of data initiatives, measurable business outcomes they drove, and evidence of leading even small cross-functional teams. Demonstrable results and async communication skills open the door when a traditional resume falls short.
Do you need a degree for remote director of data jobs?
Not always. Many remote employers weigh demonstrated data leadership, a portfolio of strategic initiatives, and hands-on experience with modern data stacks alongside or instead of a formal degree. A track of shipped data products, documented business impact, and proficiency with tools like dbt, Snowflake, or Databricks can carry significant weight, particularly at remote-first companies where outcomes matter more than credentials.
Which industries hire the most remote director of datas?
Most remote director of data openings sit in Technology & Software and Animal Care & Pet Services, per current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed data teams to support product, revenue, and operations decisions across multiple time zones and geographies.
See All 26 Remote Director of Data Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Director of Data Jobs