Remote Head of Data Management Jobs
Remote Head of Data Management jobs are open across the U.S. in sectors like technology, healthcare, financial services, and enterprise software, where distributed teams rely on strong data leadership. Companies hiring remotely right now include Pavago, boi, and Respiris. Find a role that fits below and apply directly.
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Showing 5 of 336+ Remote Head of Data Management jobs
Working at Atlassian
Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
Responsibilities:This role leads Atlassian's Cloud and AI sourcing pillar as a people leader reporting to the Director, Head of Global Strategic Sourcing. The Head of Sourcing - Cloud and AI sets the category direction and is accountable for outcomes across the hyperscaler and AI portfolios, directly with people management responsibilities. The role develops their capability, guides negotiation strategy and deal governance, steps into the most consequential negotiations and escalations, and partners with Engineering, Finance, Legal, Security, Risk, and FinOps. It contributes to broader Technology Sourcing strategy as the leader of the Cloud and AI team.
People Leadership & Influence
Own the Cloud & AI category strategy, priorities, annual roadmap, and team outcomes, aligned to engineering and financial objectives and the broader Global Strategic Sourcing direction.
Directly manage two specialists: one responsible for the hyperscaler portfolio and one responsible for AI sourcing. Establish clear ownership, goals, decision rights, and a collaborative operating cadence across both domains.
Hire and onboard as needed; conduct regular 1:1s, set goals, coach negotiation and stakeholder skills, provide feedback, support career development, and manage performance for both direct reports.
Lead through influence across departments, shaping high-complexity sourcing decisions affecting architecture, cost, resilience, and commercial flexibility.
Raise craft standards through playbooks, negotiation frameworks, market intelligence, and practical guidance on cloud commercial architectures, AI pricing, and category management.
Lead deal governance for major Cloud & AI transactions: review specialist-led negotiation plans, approval gates, risk trade-offs, and executive escalations; step in directly on pivotal deals.
Embed AI and automation into team workflows such as spend analytics, benchmarking, intake, and contract review to reduce cycle time and manual effort.
Own and report team and category outcomes, including savings, cost avoidance, cycle time, stakeholder satisfaction, compliance, contract effectiveness, and specialist development, to the Director, Head of Global Strategic Sourcing and senior stakeholders.
Drive continuous improvement in procurement policy, security, data privacy, and regulatory adherence for Cloud & AI sourcing.
Represent Procurement as a trusted commercial advisor on Cloud & AI in senior forums, bringing market, cost, contract, and team perspectives to enterprise decisions.
Deal Leadership: Cloud & AI
The Head of Sourcing - Cloud and AI sets negotiation strategy and governance for the team, coaches the hyperscaler and AI specialists as day-to-day deal owners, and personally leads or joins the most material, high-risk negotiations and executive escalations when needed.
Enterprise hyperscaler agreements: Guide the hyperscaler specialist’s negotiations across AWS (EDP/PPA), Google Cloud commitments, and/or Microsoft Azure (MACC), including cloud marketplace terms and co-sell/partner credits; lead executive-level negotiations when warranted.
Commitment structuring: Review and approve the team's approach to term length, ramp milestones, committed-use and reserved-capacity structures, savings plans, burst and flex clauses, and shortfall protection.
Frontier AI and inference agreements: Guide the AI specialist on model-provider contracts covering token and throughput pricing, provisioned concurrency, rate limits, deprecation notice periods, data usage, and IP indemnities.
Compute and GPU capacity: Oversee sourcing for dedicated GPU and accelerator availability across hyperscalers and specialist neocloud providers, balancing price, region locality, and vendor lock-in risk.
Contractual risk ownership: Partner with Legal and Security to review team proposals on SLAs, penalty credits, liability limits, data residency and sovereignty, audit rights, and exit and portability terms.
TCO and competitive leverage: Coach the team in deal strategies grounded in consumption telemetry, multi-cloud pricing benchmarks, and architecture-driven competitive tension.
Supplier executive governance: Lead executive relationships, business reviews, joint roadmaps, and escalations for the most material Cloud & AI suppliers, while specialists manage day-to-day vendor engagement.
Category Strategy, FinOps & Stakeholder Partnership
End-to-end category strategy: Balance cost, delivery speed, system resilience, and architectural flexibility across Cloud & AI spend.
FinOps alignment: Collaborate with FinOps, Platform Engineering, and Finance to forecast consumption, manage commit burn rates, and track contract utilization.
Cost optimization: Drive structural savings through rightsizing, commitment coverage, workload placement, intelligent model routing, and vendor rationalization.
Unit economics and transparency: Build granular spend visibility so product and engineering teams understand cloud and model inference unit costs.
Executive advisory: Serve as a commercial advisor VP+ engineering and finance leaders on build-versus-buy decisions and vendor selection.
Market intelligence: Monitor cloud and AI industry trends, hardware roadmaps, and pricing adjustments to identify commercial opportunities early and inform category direction.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Pay Ranges:In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $167,400 - $218,550
Zone B: $150,660 - $196,695
Zone C: $138,942 - $181,397
Qualifications:Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh.
In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.
Working at Atlassian
Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
Responsibilities:This role leads Atlassian's Cloud and AI sourcing pillar as a people leader reporting to the Director, Head of Global Strategic Sourcing. The Head of Sourcing - Cloud and AI sets the category direction and is accountable for outcomes across the hyperscaler and AI portfolios, directly with people management responsibilities. The role develops their capability, guides negotiation strategy and deal governance, steps into the most consequential negotiations and escalations, and partners with Engineering, Finance, Legal, Security, Risk, and FinOps. It contributes to broader Technology Sourcing strategy as the leader of the Cloud and AI team.
People Leadership & Influence
Own the Cloud & AI category strategy, priorities, annual roadmap, and team outcomes, aligned to engineering and financial objectives and the broader Global Strategic Sourcing direction.
Directly manage two specialists: one responsible for the hyperscaler portfolio and one responsible for AI sourcing. Establish clear ownership, goals, decision rights, and a collaborative operating cadence across both domains.
Hire and onboard as needed; conduct regular 1:1s, set goals, coach negotiation and stakeholder skills, provide feedback, support career development, and manage performance for both direct reports.
Lead through influence across departments, shaping high-complexity sourcing decisions affecting architecture, cost, resilience, and commercial flexibility.
Raise craft standards through playbooks, negotiation frameworks, market intelligence, and practical guidance on cloud commercial architectures, AI pricing, and category management.
Lead deal governance for major Cloud & AI transactions: review specialist-led negotiation plans, approval gates, risk trade-offs, and executive escalations; step in directly on pivotal deals.
Embed AI and automation into team workflows such as spend analytics, benchmarking, intake, and contract review to reduce cycle time and manual effort.
Own and report team and category outcomes, including savings, cost avoidance, cycle time, stakeholder satisfaction, compliance, contract effectiveness, and specialist development, to the Director, Head of Global Strategic Sourcing and senior stakeholders.
Drive continuous improvement in procurement policy, security, data privacy, and regulatory adherence for Cloud & AI sourcing.
Represent Procurement as a trusted commercial advisor on Cloud & AI in senior forums, bringing market, cost, contract, and team perspectives to enterprise decisions.
Deal Leadership: Cloud & AI
The Head of Sourcing - Cloud and AI sets negotiation strategy and governance for the team, coaches the hyperscaler and AI specialists as day-to-day deal owners, and personally leads or joins the most material, high-risk negotiations and executive escalations when needed.
Enterprise hyperscaler agreements: Guide the hyperscaler specialist’s negotiations across AWS (EDP/PPA), Google Cloud commitments, and/or Microsoft Azure (MACC), including cloud marketplace terms and co-sell/partner credits; lead executive-level negotiations when warranted.
Commitment structuring: Review and approve the team's approach to term length, ramp milestones, committed-use and reserved-capacity structures, savings plans, burst and flex clauses, and shortfall protection.
Frontier AI and inference agreements: Guide the AI specialist on model-provider contracts covering token and throughput pricing, provisioned concurrency, rate limits, deprecation notice periods, data usage, and IP indemnities.
Compute and GPU capacity: Oversee sourcing for dedicated GPU and accelerator availability across hyperscalers and specialist neocloud providers, balancing price, region locality, and vendor lock-in risk.
Contractual risk ownership: Partner with Legal and Security to review team proposals on SLAs, penalty credits, liability limits, data residency and sovereignty, audit rights, and exit and portability terms.
TCO and competitive leverage: Coach the team in deal strategies grounded in consumption telemetry, multi-cloud pricing benchmarks, and architecture-driven competitive tension.
Supplier executive governance: Lead executive relationships, business reviews, joint roadmaps, and escalations for the most material Cloud & AI suppliers, while specialists manage day-to-day vendor engagement.
Category Strategy, FinOps & Stakeholder Partnership
End-to-end category strategy: Balance cost, delivery speed, system resilience, and architectural flexibility across Cloud & AI spend.
FinOps alignment: Collaborate with FinOps, Platform Engineering, and Finance to forecast consumption, manage commit burn rates, and track contract utilization.
Cost optimization: Drive structural savings through rightsizing, commitment coverage, workload placement, intelligent model routing, and vendor rationalization.
Unit economics and transparency: Build granular spend visibility so product and engineering teams understand cloud and model inference unit costs.
Executive advisory: Serve as a commercial advisor VP+ engineering and finance leaders on build-versus-buy decisions and vendor selection.
Market intelligence: Monitor cloud and AI industry trends, hardware roadmaps, and pricing adjustments to identify commercial opportunities early and inform category direction.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Pay Ranges:In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $167,400 - $218,550
Zone B: $150,660 - $196,695
Zone C: $138,942 - $181,397
Qualifications:Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh.
In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.
See All 336+ Remote Head of Data Management Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Head of Data Management Job Market
Who's Hiring
Top Industries Hiring
- Staffing & Recruiting
- Technology & Software
- Science & Research
- Agriculture & Farming
- Banking & Financial Services
What Employers Look For
The qualifications that appear most often in remote head of data management jobs.
- 7 or more years of experience in data management, data governance, or enterprise data strategy
- Demonstrated expertise with master data management platforms such as Informatica, SAP MDG, or Microsoft Purview
- Experience building or leading a data governance framework including policies, standards, and stewardship programs
- Proficiency with data quality tools, metadata management, and data cataloging solutions
- Bachelor's degree in computer science, information systems, or a related field, with many employers preferring a master's degree
- Familiarity with regulatory data requirements such as GDPR, CCPA, HIPAA, or SOX depending on the industry
Tips for Your Remote Head of Data Management Job Search
Show your async leadership style concretely
Remote hiring managers want proof you can lead data teams without in-person oversight. Document examples of async data governance decisions, written stakeholder communications, and remote team processes you've run. A one-page governance framework you authored is more persuasive than a list of past titles.
Target remote-first data platform companies
Remote head of data management openings concentrate at companies built to run distributed from day one, like cloud data platform vendors, SaaS analytics firms, and digital-native enterprises. These organizations have mature remote tooling and leadership structures that make a remote data management role sustainable long-term.
Apply early to remote roles that fit
Migrate Mate lists remote head of data management 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 results. Early applications on live postings consistently get more attention than late ones.
Prepare for tool-specific remote interviews
Remote employers frequently run technical screenings around data catalog tools, lineage platforms, and governance frameworks like DAMA-DMBOK. Practice walking through a data management architecture decision you owned, since remote interviews rely almost entirely on your ability to communicate complex work clearly over video.
Remote Head of Data Management Jobs: Frequently Asked Questions
How do I get a remote head of data management job?
Remote employers hiring for this role screen heavily for self-direction and written communication, since you won't have a team physically present to course-correct in real time. Remote-first SaaS companies, data platform vendors, and distributed enterprise teams are the most consistent sources of remote openings. Candidates who demonstrate async leadership, clear data governance documentation, and experience managing distributed data teams stand out most.
Which companies hire remote head of data managements?
Remote head of data management roles are posted by Pavago, boi, and Respiris and others right now, based on current remote listings on Migrate Mate as of November 2026. These tend to be remote-first technology firms, cloud data platform companies, and large enterprises in finance and healthcare that run fully distributed data organizations.
Can you get a remote head of data management job with no experience?
Yes, but remote entry into this role is harder because you're expected to operate independently from day one without in-person mentorship. Smaller remote-first startups and scale-ups are most likely to hire developing candidates. Showing a portfolio of data governance work, documented process improvements, or hands-on experience with tools like dbt, Collibra, or Atlan can substitute for a formal title.
Do you need a degree for remote head of data management jobs?
Not always. Many remote employers weigh demonstrated data governance experience, hands-on tool proficiency, and a history of building scalable data infrastructure over a specific degree. A background in information systems, computer science, or business analytics helps, but candidates who can show concrete data quality or metadata management results often move forward regardless of their academic path.
Which industries hire the most remote head of data managements?
The sectors hiring the most remote head of data managements are Staffing & Recruiting, Technology & Software, and Science & Research, based on current remote listings on Migrate Mate as of November 2026. These industries rely on distributed data teams and require centralized data governance leadership that works effectively across time zones and remote infrastructure.
See All 336+ Remote Head of Data Management Jobs
Find roles that match your experience and apply in just a few clicks.
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