InterSystems is expanding its cloud compliance and security capabilities to support government cloud offerings and customers with rigorous public-sector requirements. We are seeking a FedRAMP / GovRAMP Compliance Program Lead to build and lead our authorization readiness program.

This highly visible, cross-functional role partners with Product, Engineering, Cloud Services, Security, Managed Services, Support, Legal, and external assessment organizations to establish a scalable compliance program that supports FedRAMP and GovRAMP authorization and ongoing continuous monitoring.

The ideal candidate combines expertise in FedRAMP, GovRAMP, NIST 800-53, cloud security, and audit readiness with strong program management skills to translate regulatory requirements into practical, sustainable operational processes.

What You'll Do

Lead the FedRAMP/GovRAMP readiness program, including roadmap development, milestone tracking, risk management, and executive reporting.
Define and maintain the authorization boundary with Product, Engineering, Cloud Services, Security, and other stakeholders.
Coordinate readiness assessments, gap analyses, remediation planning, and formal assessments with external advisors and 3PAOs.
Develop and maintain key authorization artifacts, including the System Security Plan (SSP), policies, procedures, control narratives, evidence repositories, POA&Ms, and continuous monitoring documentation.
Translate FedRAMP, GovRAMP, and NIST 800-53 requirements into actionable control ownership and operational processes.
Establish repeatable evidence collection, control validation, and audit readiness practices across technical and business teams.
Track remediation activities, findings, risks, and POA&M items through completion.
Partner with technical teams to align cloud architecture, change management, incident response, vulnerability management, access control, logging, and monitoring with compliance requirements.
Facilitate governance meetings, monitor program progress, and communicate readiness, risks, and recommendations to executive leadership.
Help establish the long-term operating model for maintaining an authorized government cloud environment.

What We're Looking For

Required Qualifications

12+ years of experience leading or supporting FedRAMP, GovRAMP, StateRAMP, or comparable cloud compliance programs.
Strong knowledge of NIST 800-53 and cloud security frameworks.
Experience supporting authorization activities, audits, continuous monitoring, or security assessments.
Familiarity with FedRAMP documentation, including SSPs, SAPs, SARs, POA&Ms, policies, procedures, and evidence packages.
Strong understanding of SaaS and cloud environments, preferably AWS, AWS GovCloud, Azure Government, or similar regulated platforms.
Excellent program management skills with experience driving cross-functional initiatives, managing risks, and delivering executive reporting.
Ability to translate complex compliance requirements into clear operational guidance for technical and non-technical stakeholders.
Strong written communication and documentation skills.

Preferred Qualifications

Experience achieving or maintaining FedRAMP Moderate/High, GovRAMP, or StateRAMP authorizations.
Experience working with 3PAOs, advisory firms, or government sponsors.
Background in healthcare, life sciences, public sector, or other regulated industries.
Familiarity with AWS GovCloud, Kubernetes, infrastructure as code, vulnerability management, identity and access management, or security monitoring.
Experience with GRC platforms, compliance automation, or continuous monitoring tools.
Relevant certifications such as CISSP, CISM, CISA, CRISC, CCSP, CCSK, PMP, or Security+.

We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.

InterSystems is providing a current good faith estimate of the anticipated base salary range for this position depending on a variety of factors including experience, education, skills, and performance.

Other compensation may include a discretionary annual variable target incentive.

The company also provides generous employee benefits including:

Medical, vision, and dental insurance
Short-term and long-term disability, and life insurance
401(k) Profit Sharing Contribution
Paid Time Off and Holidays
Parental Leave
Tuition reimbursement

The estimated base compensation range for this role is:

$201,000—$251,000 USD

About InterSystems

InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries. Our data platforms solve interoperability, speed, and scalability problems for large organizations around the globe to unlock the power of data and allow people to perceive data in imaginative ways. Established in 1978, InterSystems is committed to excellence through its 24×7 support for customers and partners around the world. Privately held and headquartered in Boston, Massachusetts, InterSystems has 38 offices in 28 countries worldwide. For more information, please visit InterSystems.com.

AI Disclaimer

InterSystems may use AI tools for its internal operations including administrative tasks during recruitment (e.g., organizing candidate information). InterSystems’ approach to AI is guided by the InterSystems Responsible AI Guidelines. AI is not used to make or influence hiring decisions. All decisions are made by InterSystems employees.

Candidates may use AI for CV or interview preparation, provided materials are truthful and reflect their own experience. AI tools and third-party transcription services must not be used during interviews or assessments.

Please note that the use of wearable technology, including any AI-related tools or other technology-connected devices (such as META or Google smart glasses and/or wearables, and/or any similar devices), isstrictly prohibitedduring the interview and screening process with InterSystems. Any applicant who requires a wearable device or any type of technology support during the interview process as a reasonable accommodation under the ADA or applicable state or country laws and regulations must contact the InterSystems Human Resources Departmentprior to attending or participating in any interview or screening process.

The estimated base compensation range for this role is: 201000 - 251000 USD

About the company

InterSystems delivers high-performance data platforms and industry-specific software for healthcare, finance, and supply chain management. Its main offerings are the InterSystems IRIS Data Platform, HealthShare, and TotalView for Asset Management. IRIS handles large data volumes to support mission-critical applications, HealthShare securely shares and analyzes patient data across systems, and TotalView helps optimize physical and digital assets. Revenue comes from software licenses, cloud subscriptions, maintenance, and services, with a goal to help customers make better decisions and achieve better outcomes through scalable data infrastructure and AI-enabled capabilities.

Company Size

1,001-5,000

Company Stage

N/A

Total Funding

N/A

Headquarters

Cambridge, Massachusetts

Founded

1978

Get referred to InterSystems

See people who can refer or advise you

Simplify's Take

What believers are saying

July 2026 Data Studio AI Assistant turned enterprise analytics into a generative-AI product.
June 2026 Medcare chose IntelliCare across six hospitals and 25 medical centers.
May 2026 59stVentures and Briya partnerships expanded ASEAN and regulated-healthcare channels.

What critics are saying

Oracle, Epic, and ecosystem vendors copy AI features by 2027.
Healthcare AI regulation in the EU and UK forces audits, documentation, and slower sales.
If IntelliCare stumbles in Medcare deployments, InterSystems loses its AI-EHR narrative.

What makes InterSystems unique

June 2026 IntelliCare became the first AI-native EHR with EU MDR Class IIa certification.
InterSystems IRIS unifies operational data, interoperability, and governed retrieval across healthcare and finance.
July 2026 Data Studio AI Assistant embeds natural-language analytics inside a managed platform.

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Benefits

Generous parental leave
Flexible work schedule
Family medical leave
Health insurance benefits
Wellness programs
Professional development
401k
Generous PTO

Company News

Healthcare IT Today

Oct 7th, 2026

InterSystems talks on health data standards, quality, and AI.

InterSystems talks on health data standards, quality, and AI. October 7, 2026 InterSystems is the data Goliath of health care, present in 20 countries and processing two-thirds of all medical records in the United States. But even InterSystems has to evolve to deal with the challenges of health care, including shrinking funds and the vast expansion in the use of data for analytics and AI. In a recent interview at the Civitas conference, we hear from two experts at InterSystems Public Sector Corporation: Kirk Grothe, Head of Public Sector Strategy, and Dave Nelson, Head of Public Sector Sales Engineering. They discuss standards in health care data exchange, efforts to improve data sharing and quality at CMS, the ONC, and states, and the importance of defining context and use cases for data. Grothe said that many HIEs depended on grant funding and, having lost that funding, are struggling to be self-sufficient. They need to partner with organizations that can understand the various uses for data and keep them afloat. He wants states to consider a "360-degree view of a person" that includes social determinants of health and other available data. CMS, ONC, and HL7 are still improving standards for data transmission and some standards still don't agree with one another. Being able to reconcile those standards and a patient's data across multiple systems is going to be key to successfully caring for a patient. Nelson talked about the increasing importance of data quality as it is used for more complex tasks such as AI. One of the major issues with AI is trusting its output, but one can't do that unless one trusts the input data. Proper identification of both patients and providers is critical - once bad data gets into a record, finding and removing it becomes difficult. The fundamental goal, Grothe says, is for data to "go from something stored to something actionable and intelligent." Listen and subscribe to the Healthcare IT Today Interviews Podcast to hear all the latest insights from experts in healthcare IT. Tell us what you think. Contact us here or on Twitter at @hcitoday. And if you're interested in advertising with us, check out our various advertising packages and request our Media Kit. InterSystems is a proud sponsor of Healthcare Scene. Get Fresh Healthcare & IT Stories Delivered Daily

IT-Online

Sep 21st, 2026

AI success starts with the digital backbone.

AI success starts with the digital backbone. Sep 21, 2026 As organisations move from experimenting with generative AI to deploying agentic systems that can reason, act and interact with core business processes, the quality of the data and architecture beneath them is becoming a critical factor in whether AI creates meaningful business value or simply introduces another layer of complexity. This is according to Ali AbiRaad, MD: Middle East Africa and India at InterSystems, speaking at the company's Ready 2026 South Africa conference in Johannesburg. "AI is becoming pervasive, but the model itself is only one part of the equation," he says. "In the agentic era, organisations need good data, interoperability and governance if they want AI to operate with the context, reliability and control the business expects. That is why the digital backbone matters. It connects the information AI needs, makes that information usable across systems, and gives organisations a stronger foundation on which to build." AI needs more than a model Across the event, speakers returned to a common challenge: organisations are under pressure to move quickly on AI while still dealing with fragmented data, disconnected applications and integration environments that were never designed for autonomous systems. InterSystems argued that these issues become more important as AI shifts from generating content towards acting. Agentic systems need access to reliable, contextual information across the organisation, but they also need controls that determine what information can be accessed, what actions can be taken, and where human oversight remains necessary. The company's technology roadmap reflected this shift, with AI-ready data, agentic interoperability, trust and governance, and organisational context positioned as core requirements for operating in what InterSystems described as the agentic economy. Its roadmap also places human control alongside orchestration and agent networks, rather than treating autonomy as an end in itself. That same theme was reinforced by Jonathan Tullett, associate research director at IDC sub-Saharan Africa, whose keynote examined how organisations can extract greater value from technology investment as AI becomes embedded across the enterprise. Tullett emphasised the importance of strong data foundations, integration and governance, while also challenging organisations to be clearer about the business problem an AI project is intended to solve and the outcomes against which its success will be measured. "AI projects cannot exist simply because the technology is available," said Henry Adams, country manager: South Africa at InterSystems. "There has to be a strong business use case behind them and a clear understanding of the value the organisation expects to create. At the same time, governance cannot be separated from the data and architecture supporting those projects. As AI begins to take on more responsibility, knowing what it is doing, what information it is using and where accountability sits becomes fundamental." Building for the agentic era Healthcare, InterSystems' strongest market in Africa, provided one of the clearest examples of those requirements during the symposium. Dr Rami Riman, director of clinical and business improvements at InterSystems, examined why healthcare AI depends on connected, trusted data and interoperability, particularly as AI moves closer to clinical and operational workflows. Later sessions demonstrated how those principles can be applied in practice, including an ambient voice technology use case built around InterSystems IRIS for Health. The architecture showed how AI-generated clinical content can connect to existing healthcare workflows while retaining records of provenance, processing activity, and the models involved in producing an output. InterSystems also outlined continued investment across its broader data and AI portfolio, including InterSystems IRIS AI Hub, Data Studio AI Assistant, HealthShare AI Assistant and new capabilities designed to bring interoperability to AI applications and agents. The company said this investment builds on continued momentum in South Africa across healthcare, financial services and other sectors, as organisations look for ways to modernise while retaining the reliability and interoperability required by mission-critical environments. "For us, the digital backbone is not about telling an organisation to replace everything it already has," Adams added. "It is about making the systems and data it already depends on work together more effectively, while creating the foundation for what comes next. If organisations can get the data right, connect it properly, govern it and stay focused on the business outcome, they are in a far stronger position to turn AI from an interesting experiment into something that delivers lasting value."

Aegis Trace

Sep 16th, 2026

Aegis Trace and InterSystems partner to strengthen AI decision traceability for regulated organisations.

Aegis Trace and InterSystems partner to strengthen AI decision traceability for regulated organisations. 16 Sep 2026 Partnership combines AI decision traceability with trusted data infrastructure to help organisations scale AI responsibly and demonstrate accountability BIRMINGHAM, UK, 16 September 2026 Announced today at the InterSystems UKI Data Summit in Birmingham, AI decision traceability solution Aegis Trace, developed by MSDK Labs, and creative data technology provider InterSystems have entered into a partnership to help regulated organisations strengthen trust, transparency, and accountability in AI-supported decision-making. The partnership combines Aegis Trace's decision-level traceability capabilities with InterSystems IRIS data platform to help organisations understand, evidence and govern AI-supported decisions. By combining verifiable records of how decisions are reached with trusted, enterprise-scale data and retrieval capabilities, the partnership enables organisations to adopt AI with greater transparency, accountability and confidence. As AI becomes embedded in business processes, organisations face growing pressure to demonstrate how AI-supported decisions are made, what information informed them, and what oversight was applied. Together, Aegis Trace and InterSystems enable organisations to connect decisions to the relevant regulatory and organisational context, enabling them to explain outcomes, strengthen governance, and respond more effectively to regulatory requirements. With AI playing a growing role in operational decision-making across regulated sectors, the ability to demonstrate accountability at an individual decision level is becoming increasingly important. Regulatory frameworks such as the EU AI Act place growing emphasis on record-keeping, transparency, and oversight for AI systems, creating new requirements for organisations to understand and evidence the role of AI in decision-making. Financial services is the initial focus of the partnership, reflecting the sector's requirements for governance, accountability, and customer outcomes. InterSystems has a long-established presence across the financial services industry, while Aegis Trace was recently selected to participate in the FCA's AI Supercharged Sandbox programme, where it is collaborating with the regulator as approaches to AI governance and accountability continue to evolve. Tony Kelly, Co-Founder and CTPO, Aegis Trace, said: "As regulated organisations adopt AI more widely, they need to be able to demonstrate how AI-supported decisions are made and what information informed them. Accountability can no longer be treated as a future consideration, yet many organisations still lack a clear way to evidence how decisions were reached. "We selected InterSystems because reliable retrieval, scalability and access to trusted information are fundamental to solving that challenge. Combining Aegis Trace's decision traceability capabilities with InterSystems technology gives organisations the foundation they need to adopt AI confidently, while maintaining the transparency, governance and accountability increasingly expected by regulators, customers and stakeholders." Clive Rumsey, Sales Director, InterSystems UKI, said: "Aegis Trace is addressing an important challenge that many organisations are only beginning to recognise. As AI moves from experimentation into operational use, organisations will need greater visibility into how decisions are made and how those decisions can be explained and governed. "We are delighted to work with Aegis Trace on this partnership. Their innovative approach to AI decision traceability complements InterSystems' long-standing experience supporting highly regulated industries such as financial services and healthcare. Together, we're helping organisations address a critical requirement before it becomes a much bigger challenge, enabling them to scale AI responsibly while maintaining trust and confidence in the outcomes it delivers." Independently verifiable evidence for every AI decision. Request early access to Aegis Trace and its technical documentation.

ConnectWeb

Jul 28th, 2026

News & articles.

News & articles. At ConnectWeb Connectweb has a team of editors and researchers collating the most relevant information to you and your industry. All Directories' publications and sites provide a wealth of information for research or marketing, and are used by public and corporate libraries, educational institutions, government departments, corporations and SMEs across the country. You are here: Home News Access the latest company news and announcements distributed through Medianet. Business & Finance 28/07/2026 00:18 InterSystems launches Data Studio AI Assistant to accelerate enterprise data exploration and insights. InterSystems New Generative AI extension simplifies how teams explore, analyze, and visualize enterprise data BOSTON-BUSINESS WIRE- InterSystems, a creative data technology provider powering some of the world's most important applications, today announced the general availability of InterSystems Data Studio(TM) AI Assistant, a new generative AI-powered extension for InterSystems Data Studio that helps organizations more easily understand, navigate, query, and visualize data through natural language interactions. As organizations move from AI experimentation to production deployments, many are discovering that the greatest challenge is not the AI model itself, but providing AI systems with access to trusted, current, and business-ready information. Enterprise data is often fragmented across applications, databases, cloud services, files, data warehouses, and departmental silos, making it difficult for users and AI systems to generate reliable insights. "Organizations are increasingly looking for ways to turn their data into actionable intelligence without adding complexity," said Scott Gnau, Senior Vice President, Data Platforms at InterSystems. "InterSystems Data Studio AI Assistant brings generative AI directly to a trusted data foundation, enabling users to interact with information more naturally while maintaining the governance, security, and controls enterprises require." Unlike AI solutions that require organizations to assemble and maintain multiple tools, InterSystems Data Studio AI Assistant is embedded within the broader InterSystems Data Studio platform. This enables organizations to combine AI capabilities with a common, integrated data layer that supports consistent access to trusted information across users, applications, analytics platforms, and AI systems. Built as an optional extension for InterSystems Data Studio and available as a fully managed service, AI Assistant provides interactive assistants and agents that help users explore both structured and unstructured data, discover available information assets, generate visualizations, and accelerate data analysis. The solution includes out-of-the-box agents as well as a flexible multi-agent framework that enables organizations to create custom assistants tailored to specific business requirements. About InterSystems InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries. Its data platforms solve interoperability, speed, and scalability problems for large organizations around the globe to unlock the power of data and allow people to perceive data in imaginative ways. Established in 1978, InterSystems is committed to excellence through its 24x7 support for customers and partners around the world. Privately held and headquartered in Boston, Massachusetts, InterSystems has 38 offices in 28 countries worldwide. For more information, please visit InterSystems.com. Contact details: InterSystems PR Contact: Zach Keating [email protected] 617-551-5158 * images - ints_creativedatatechnology_logo_rgb.jpg download. ConnectWeb. ConnectWeb is Australia's leading publisher of biographical data, directories and specialist newsletters. With ConnectWeb you gain access to its comprehensive database of contacts and companies in media, government and associations. Connect with Connectweb.

Yahoo Finance

Jul 27th, 2026

InterSystems launches Data Studio AI Assistant to simplify enterprise data exploration

InterSystems has launched Data Studio AI Assistant, a generative AI extension designed to help organisations explore and analyse enterprise data through natural language interactions. The tool addresses the challenge of accessing fragmented data across applications, databases, and cloud services. The AI assistant is embedded within InterSystems Data Studio platform and available as a managed service. It enables users to discover data assets, generate visualisations, and accelerate analysis of both structured and unstructured data. The solution includes pre-built agents and a framework for creating custom assistants. "InterSystems Data Studio AI Assistant brings generative AI directly to a trusted data foundation, enabling users to interact with information more naturally whilst maintaining the governance, security, and controls enterprises require," said Scott Gnau, senior vice president of data platforms at InterSystems.

InterSystems

FedRAMP/GovRAMP Compliance Program Lead

About the job