Cybersecurity Co-Founder / Head of Growth (100 % remote) (m/f/d)

Datavant is a data platform company and the world’s leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format.

Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world’s leading life sciences companies, government agencies, and those who deliver and pay for care.

By joining Datavant today, you’re stepping onto a high-performing, values-driven team. Together, we’re rising to the challenge of tackling some of healthcare’s most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare.

What We’re Looking For

As a Staff AI Security Architect at Datavant, you will lead the design, evolution, and adoption of secure by design principles across our AI and Machine Learning (ML) systems. This role sits at the intersection of AI innovation and security architecture. You will define and operationalize AI security strategy, embed security into the AI/ML development lifecycle, and partner deeply with data science, engineering, product, legal, and compliance teams to ensure our AI systems are secure, trustworthy, and scalable.

What You Will Do

Establish AI security architectural standards, design patterns, and best practices adopted across engineering teams.
Architect and advise on secure end-to-end AI systems, including data pipelines, model training, evaluation, deployment, runtime monitoring, and agentic workflows.
Lead threat modeling, architecture reviews, and risk assessments for AI-driven products, including LLMs, agent frameworks, and multi-agent systems.
Define and evolve a comprehensive AI/ML secure development lifecycle integrated into existing SDLC practices.
Develop reference architectures, documentation, and reusable security components to accelerate secure AI adoption.
Collaborate with legal, privacy, compliance, and responsible AI stakeholders to align security controls with regulatory and ethical requirements.
Act as a trusted advisor to senior leadership on AI security risks, trade-offs, and long-term strategy.

What You Need to Succeed

8+ years of experience in security architecture, application security, or product security, with meaningful focus on AI/ML systems.
Hands-on experience securing AI/ML or LLM-based systems, including familiarity with modern AI architectures and agentic workflows.
Strong understanding of AI threat models, including adversarial ML, prompt injection, data poisoning, model theft, and abuse scenarios.
Proven ability to design and influence security architectures for large-scale, distributed systems.
Strong communication skills with the ability to translate complex technical concepts to both technical and non-technical stakeholders.
Have a strong understanding of security controls, both those that exist in audit standards as well as practical controls that can help reduce risk and increase safety.

What Helps You Stand Out

Hands-on experience building, testing, or tinkering with agentic AI workflows, with an understanding of the security risks they introduce.
Experience securing AI/ML workloads in Databricks, with a deep understanding of its platform-specific security risks.
You have experience with security in healthcare or other highly regulated space. Examples: HIPAA, HITRUST, SOC 2, PCI, FedRamp experience from an operational response standpoint.

We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.

At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services.

The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job.

The estimated total cash compensation range for this role is:

$224,000$280,000 USD

To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion.

This job is not eligible for employment sponsorship.

Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.

At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way.

Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the ‘Interview Accommodation Request’ category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis.

For more information about how we collect and use your data, please review our Privacy Policy.

Originally posted on Himalayas

Job Description

What We’re Looking For

What You Will Do

Establish AI security architectural standards, design patterns, and best practices adopted across engineering teams.
Architect and advise on secure end-to-end AI systems, including data pipelines, model training, evaluation, deployment, runtime monitoring, and agentic workflows.
Lead threat modeling, architecture reviews, and risk assessments for AI-driven products, including LLMs, agent frameworks, and multi-agent systems.
Define and evolve a comprehensive AI/ML secure development lifecycle integrated into existing SDLC practices.
Develop reference architectures, documentation, and reusable security components to accelerate secure AI adoption.
Collaborate with legal, privacy, compliance, and responsible AI stakeholders to align security controls with regulatory and ethical requirements.
Act as a trusted advisor to senior leadership on AI security risks, trade-offs, and long-term strategy.

What You Need to Succeed

8+ years of experience in security architecture, application security, or product security, with meaningful focus on AI/ML systems.
Hands-on experience securing AI/ML or LLM-based systems, including familiarity with modern AI architectures and agentic workflows.
Strong understanding of AI threat models, including adversarial ML, prompt injection, data poisoning, model theft, and abuse scenarios.
Proven ability to design and influence security architectures for large-scale, distributed systems.
Strong communication skills with the ability to translate complex technical concepts to both technical and non-technical stakeholders.
Have a strong understanding of security controls, both those that exist in audit standards as well as practical controls that can help reduce risk and increase safety.

What Helps You Stand Out

Hands-on experience building, testing, or tinkering with agentic AI workflows, with an understanding of the security risks they introduce.
Experience securing AI/ML workloads in Databricks, with a deep understanding of its platform-specific security risks.
You have experience with security in healthcare or other highly regulated space. Examples: HIPAA, HITRUST, SOC 2, PCI, FedRamp experience from an operational response standpoint.

The estimated total cash compensation range for this role is:

$224,000$280,000 USD

For more information about how we collect and use your data, please review our Privacy Policy.

Originally posted on Himalayas

Job Description

What We’re Looking For

What You Will Do

Establish AI security architectural standards, design patterns, and best practices adopted across engineering teams.
Architect and advise on secure end-to-end AI systems, including data pipelines, model training, evaluation, deployment, runtime monitoring, and agentic workflows.
Lead threat modeling, architecture reviews, and risk assessments for AI-driven products, including LLMs, agent frameworks, and multi-agent systems.
Define and evolve a comprehensive AI/ML secure development lifecycle integrated into existing SDLC practices.
Develop reference architectures, documentation, and reusable security components to accelerate secure AI adoption.
Collaborate with legal, privacy, compliance, and responsible AI stakeholders to align security controls with regulatory and ethical requirements.
Act as a trusted advisor to senior leadership on AI security risks, trade-offs, and long-term strategy.

What You Need to Succeed

8+ years of experience in security architecture, application security, or product security, with meaningful focus on AI/ML systems.
Hands-on experience securing AI/ML or LLM-based systems, including familiarity with modern AI architectures and agentic workflows.
Strong understanding of AI threat models, including adversarial ML, prompt injection, data poisoning, model theft, and abuse scenarios.
Proven ability to design and influence security architectures for large-scale, distributed systems.
Strong communication skills with the ability to translate complex technical concepts to both technical and non-technical stakeholders.
Have a strong understanding of security controls, both those that exist in audit standards as well as practical controls that can help reduce risk and increase safety.

What Helps You Stand Out

Hands-on experience building, testing, or tinkering with agentic AI workflows, with an understanding of the security risks they introduce.
Experience securing AI/ML workloads in Databricks, with a deep understanding of its platform-specific security risks.
You have experience with security in healthcare or other highly regulated space. Examples: HIPAA, HITRUST, SOC 2, PCI, FedRamp experience from an operational response standpoint.

The estimated total cash compensation range for this role is:

$224,000$280,000 USD

For more information about how we collect and use your data, please review our Privacy Policy.

Originally posted on Himalayas

Job Description

What We’re Looking For

What You Will Do

Establish AI security architectural standards, design patterns, and best practices adopted across engineering teams.
Architect and advise on secure end-to-end AI systems, including data pipelines, model training, evaluation, deployment, runtime monitoring, and agentic workflows.
Lead threat modeling, architecture reviews, and risk assessments for AI-driven products, including LLMs, agent frameworks, and multi-agent systems.
Define and evolve a comprehensive AI/ML secure development lifecycle integrated into existing SDLC practices.
Develop reference architectures, documentation, and reusable security components to accelerate secure AI adoption.
Collaborate with legal, privacy, compliance, and responsible AI stakeholders to align security controls with regulatory and ethical requirements.
Act as a trusted advisor to senior leadership on AI security risks, trade-offs, and long-term strategy.

What You Need to Succeed

8+ years of experience in security architecture, application security, or product security, with meaningful focus on AI/ML systems.
Hands-on experience securing AI/ML or LLM-based systems, including familiarity with modern AI architectures and agentic workflows.
Strong understanding of AI threat models, including adversarial ML, prompt injection, data poisoning, model theft, and abuse scenarios.
Proven ability to design and influence security architectures for large-scale, distributed systems.
Strong communication skills with the ability to translate complex technical concepts to both technical and non-technical stakeholders.
Have a strong understanding of security controls, both those that exist in audit standards as well as practical controls that can help reduce risk and increase safety.

What Helps You Stand Out

Hands-on experience building, testing, or tinkering with agentic AI workflows, with an understanding of the security risks they introduce.
Experience securing AI/ML workloads in Databricks, with a deep understanding of its platform-specific security risks.
You have experience with security in healthcare or other highly regulated space. Examples: HIPAA, HITRUST, SOC 2, PCI, FedRamp experience from an operational response standpoint.

The estimated total cash compensation range for this role is:

$224,000$280,000 USD

For more information about how we collect and use your data, please review our Privacy Policy.

Originally posted on Himalayas