Sonata Software
Domain Architect
England
Posted about 13 hours ago
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About the Role
We are seeking an experienced Domain Architect to lead domain-driven transformation programmes within UK private healthcare. This is a senior, client-facing role that sits at the intersection of clinical operations, business change and data & technology delivery.
The successful candidate will be the essential link between clinical and operational business stakeholders — Consultants, Doctors, Nurses, Schedulers and Finance teams — and the IT and data engineering functions responsible for building and maintaining the organisation's analytical and digital capabilities.
You will bring deep UK private healthcare domain knowledge, strong stakeholder skills and hands-on experience delivering end-to-end analytical and transformation solutions — from initial requirements through to go-live and adoption.
Key Responsibilities
Clinical & Business Stakeholder Engagement
- Act as the primary domain expert on healthcare operations, clinical workflows and patient pathways — translating clinical and business intent into clear, actionable requirements for IT and data teams.
- Build trusted, long-term relationships with senior clinical stakeholders, including Medical Consultants, Clinical Nurse Specialists, Schedulers, Finance Directors and Operational Managers.
- Lead structured requirements workshops, process mapping sessions and discovery interviews across clinical departments, service lines and business functions.
- Navigate the distinct cultures of clinical, operational and technology teams — communicating effectively and credibly with each audience.
Business Analysis & Requirements
- Produce high-quality business requirements documents, functional specifications, process maps and data dictionaries grounded in healthcare operational reality.
- Define and validate clinically meaningful KPIs and performance metrics — for example, theatre utilisation, patient pathway timelines, cancer care outcomes, outpatient volumes, revenue and cost indicators.
- Translate complex clinical data models and source-system structures into coherent analytical designs that data engineering teams can build with confidence.
- Prepare user stories, acceptance criteria and test scenarios accessible to both clinical end users and technical developers.
- Identify data quality issues, missing fields and completeness gaps; define remediation approaches in collaboration with clinical and IT staff.
Domain Architecture & Solution Design
- Contribute to the design of healthcare data and analytics architectures — ensuring solutions are clinically meaningful, operationally relevant and technically scalable.
- Define data domains, master data entities and semantic models for core subject areas including patient, episode, clinical activity, cost and workforce.
- Advise on integration patterns between clinical source systems (EPR, EHR, scheduling, finance, diagnostic systems) and central analytics or data platform environments.
- Guide legacy-to-modern migrations — ensuring business continuity, data lineage and clinical relevance are preserved throughout.
- Support the governance of analytical products — including access control design, data refresh cadences and usage monitoring to track adoption.
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Delivery, Adoption & Governance
- Work within agile or hybrid delivery teams — contributing to sprint planning, backlog prioritisation, demos, UAT co-ordination and retrospectives.
- Champion adoption as a first-class outcome: work with end users post-go-live to ensure solutions are understood, embedded and driving genuine business value.
- Produce honest, transparent programme status reporting — surfacing risks and issues early, without optimism bias.
- Support the measurement and communication of business value delivered by transformation programmes, connecting outputs to clinical and operational outcomes.
Skills & Experience
Essential
- Healthcare domain depth: Minimum 5 years operating as a Business Analyst, Domain Architect or equivalent within UK healthcare. Private healthcare experience strongly preferred — e.g. private hospital, independent clinic or independent sector treatment centre.
- Clinical stakeholder fluency: Proven track record of working directly with Medical Consultants, Clinicians, Nurses and Schedulers to elicit, validate and deliver on requirements. Comfortable presenting to a CIO or a Consultant with equal confidence.
- Domain programme delivery: Demonstrable experience leading or contributing to domain-led transformation programmes — from requirements discovery through to go-live and adoption — within a healthcare organisational context.
- Data & analytics literacy: Strong working knowledge of data modelling, business intelligence and analytics platforms. Able to engage meaningfully with data engineers, architects and developers on solution design.
- Requirements & artefact quality: Produces requirements, specifications and process models that are clear, accurate and decision-ready — accessible to both clinical end users and technical builders.
- Communication across cultures: Skilled at translating between clinical, operational and technology contexts — without losing nuance in either direction.
- Delivery discipline: Experienced in agile or hybrid delivery methods; comfortable with backlog management, sprint ceremonies and structured programme governance.
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Highly Desirable
- Experience with clinical data standards and reporting frameworks relevant to UK private healthcare — such as activity reporting, cancer data (SACT), patient safety datasets, NHS reference standards where applicable.
- Familiarity with UK private healthcare financial models: PMI (Private Medical Insurance), self-pay, Activity-Based Costing (ABC), revenue cycle and budget variance reporting.
- Background in clinical informatics, health data science or NHS / independent healthcare IT leadership.
- Experience of major healthcare source systems commonly found in UK private sector settings — EPR, oncology, patient safety, scheduling, finance and CRM platforms.
- Understanding of modern cloud data platforms and the migration of legacy data infrastructure to contemporary architectures.
- Awareness of AI and automation opportunities in clinical and operational settings — including an understanding of clinical risk, human-in-the-loop design and regulatory considerations.
Personal Attributes
- Deeply curious about healthcare operations — motivated by improving clinical and business outcomes, not just delivering technical outputs.
- A natural relationship-builder who earns trust with clinical and executive stakeholders through knowledge, candour and consistency.
- Comfortable with ambiguity and complexity; able to hold multiple workstreams and stakeholder dynamics simultaneously.
- Rigorous and detail-conscious — produces work that is accurate, well-structured and ready for senior scrutiny.
- Transparent and direct — raises problems early and communicates risk honestly.
What Success Looks Like
A strong performer in this role will demonstrate the following within the first six months:
- Speaks the language of Consultants and Clinicians without defaulting to IT terminology
- Explains why a metric or KPI matters clinically, not just how to build it
- Earns stakeholder trust quickly through domain credibility and listening
- Treats adoption as part of the job — not something that happens after go-live
- Surfaces programme risks early and honestly
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Skills
Domain Architecture
Business Analysis
Stakeholder Engagement
Data Modelling
Healthcare Operations
Clinical Workflows
Agile Delivery
Transformation Programmes
Data Quality
KPI Definition
Communication
Process Mapping
User Stories
Integration Patterns
Governance
Clinical Data Standards
Location