Technical Product Specialist

Location – Windsor / Edinburgh, UK

Type of Work - Office

Role Overview

The Product Technical Specialist is a key member of the Agile Scrum Product Team, responsible for designing, developing and maintaining the UKI Edition of the Core Product. Working closely with the Product Owner, Product Manager and cross-functional team members, the role contributes to the delivery of high-quality product enhancements, defect resolutions and technical improvements that meet customer, business and regulatory requirements.

The Product Technical Specialist analyses enhancement requests, reported defects and implementation feedback, producing technical solutions that are scalable, maintainable and aligned with the product architecture. Responsibilities include software development, troubleshooting, technical design, release readiness, automated testing and continuous improvement to ensure that product changes are delivered to agreed quality standards within Sprint and release commitments.

The role collaborates closely with Product Management, Application Specialists, Implementation and Support teams to investigate issues, assess technical feasibility and support the successful adoption of new functionality. While the role is primarily office-based within the Product Team, occasional travel to customer sites, healthcare organisations or partner locations may be required to support technical investigations, workshops or other business activities.

Key Responsibilities

The Product Technical Specialist will act in accordance with Agile principles and work as part of a Scrum Team. Processes are updated as part of our ongoing culture of continuous improvement. The Product Technical Specialist will undertake the following:

Product Development

Design, develop, test and maintain functionality within the UKI Edition of the Core Product to meet regional business, clinical and regulatory requirements.
Develop and maintain technical components including integrations, reports, data migration utilities, JavaScript enhancements and other product features.
Analyse customer enhancement requests, reported defects and implementation feedback to determine the most appropriate technical solution.
Produce technical specifications to support the delivery of new functionality and product enhancements.
Ensure all developments comply with product architecture, coding standards and quality expectations.
Maintain compatibility between the UKI Edition and Core Product releases, assessing the impact of Core Product changes on local functionality.
Produce and maintain technical documentation to support ongoing development, support and knowledge sharing

Agile Product Delivery

Work collaboratively with the Product Owner, Product Manager and Scrum Team to refine, estimate and deliver Product Backlog Items.
Participate fully in Scrum ceremonies including Backlog Refinement, Sprint Planning, Daily Scrums, Sprint Reviews and Sprint Retrospectives.
Provide technical expertise during backlog refinement, identifying dependencies, technical risks and implementation approaches.
Estimate development effort and contribute to Sprint planning to support predictable delivery.
Deliver Sprint commitments in line with agreed priorities and the team's Definition of Done.
Collaborate closely with Application Specialists to translate business, clinical and customer requirements into robust technical solutions.
Contribute to release planning by ensuring completed developments are ready for inclusion in product releases

Quality, Support and Continuous Improvement

Undertake unit testing and support integration, regression and user acceptance testing activities to ensure product quality.
Investigate, diagnose and resolve software defects identified through customer support, testing, implementation activities or internal quality assurance.
Support the investigation and resolution of complex third-line issues relating to Edition functionality.
Assess reported issues to determine whether they represent software defects, configuration issues or enhancement opportunities.
Validate completed developments prior to release and support post-release issue resolution where required.
Identify opportunities to improve product performance, maintainability, usability and technical quality.
Contribute to continuous improvement initiatives within the Scrum Team, including development practices, tooling, automation and quality processes

Collaboration and Stakeholder Engagement

Work collaboratively with Product Management, Application Specialists, Support, Implementation and other business teams to ensure the successful delivery of product enhancements.
Provide technical input into the assessment of customer requirements and implementation feedback to inform future product development.
Liaise with Core Product teams to understand new functionality, technical changes and product direction, assessing impacts on the UKI Edition.
Share technical knowledge and best practice across the Product Team to promote continuous learning and consistency.
Support colleagues by providing technical guidance and contributing to problem-solving activities across the wider business.
Build effective working relationships with internal stakeholders to ensure customer needs are understood and translated into high-quality product solutions.
Contribute to the evolution of the UKI Edition by supporting strategic product initiatives and helping ensure the product continues to meet the needs of customers within the region

Experience/Qualification Required

Essential:

Demonstrable experience in software development, technical configuration or application development, with a passion for delivering high-quality software solutions.
Strong analytical and problem-solving skills, with the ability to investigate complex technical issues and identify effective, pragmatic solutions.
Ability to interpret business and functional requirements and translate them into robust technical designs and deliverable solutions.
Experience of developing using web technologies, including HTML, JavaScript and related frameworks.
Experience of SQL, database design principles, data analysis and data migration techniques.
Ability to produce clear and concise technical documentation and specifications.
Understanding of web technologies, Internet/Intranet architecture and system integration concepts.
Experience of working within an Agile Scrum environment, participating in backlog refinement, Sprint Planning, estimation and iterative delivery.
Ability to estimate technical effort accurately and manage competing priorities within Sprint commitments.
Strong communication and collaboration skills, with the ability to work effectively within a cross-functional Product Team and engage with technical and non-technical stakeholders.
Commitment to software quality through testing, peer review and continuous improvement.
Ability to work independently while contributing positively to a collaborative team environment.

Desirable:

Experience of developing or supporting InterSystems technologies, including TrakCare or HealthShare.
Experience working within the healthcare sector or with Electronic Health Record (EHR) solutions.
Knowledge of healthcare interoperability standards, including HL7, FHIR and Health Information Exchange (HIE) principles.
Experience of REST APIs, web services and systems integration.
Experience with source control, DevOps practices and CI/CD pipelines
Familiarity with AI technologies, including Generative AI, Large Language Models (LLMs), and their practical application within software development and healthcare technology.
Experience integrating AI-powered services or APIs into software solutions.
Knowledge of AI governance, security, privacy, and responsible use, particularly within regulated environments such as healthcare

Key Attributes

Drive - The desire to succeed, willingness to go the extra mile, passion for results, healthy sense of competition.
Decision making and judgement - Identifies critical factors to consider when makings decisions; prioritizes tasks and goals appropriately; effectively assesses risks and returns; can make considered decisions on less-than-perfect information.
Communication and influence - Is articulate and gives clear, concise, and focused answers to questions; explains opinions and positions respectfully; uses empathy to persuade others; keeps key people informed; ability to communicate with diverse audiences; ability to facilitate. Is friendly, personable and engaging. Identifies the most appropriate form of communication.
Teamwork and collaboration - Ability to collaborate effectively with people of comparable talents and different strengths; handles conflict constructively; avoids being argumentative; willing to pitch in and do the mundane things that need to be done; treats people at all levels and within all roles with respect.
Efficiency and attention to detail - Committed to tasks while adhering to time-line; ability to balance multiple tasks simultaneously without details falling through the cracks; has high standards for thoroughness, completeness and accuracy.
Adaptability - Ability to handle changes in direction and work priorities with ease, not set in their ways, enjoys a new challenge, accepts ambiguity and works effectively with all kinds of people at all levels. Is positive and level-headed under pressure; adaptable.
Strategic Thinking - Demonstrates the ability to see the ‘big picture’ and see own actions in terms of the business impact. A strategic thinker will be future-orientated and will be likely to challenge conventional thinking. Considers limitations and solutions at all levels and understand wider implications and consequences of change, collaborating on this with the team.
Continuous improvement - Displays a hunger for continuous improvement including personal development, product development and team workflow and systems, remaining open to mentoring and advice from senior roles. Applies dedication to personal and professional development.
Learning agility - The ability and willingness to learn from experience and then apply that learning to perform successfully in new situations.

Education and Training – Desirable

University degree or equivalent work experience
Proficiency in English and one other language

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.

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