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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Implementation Manager - **Company:** Cambridge University Hospitals - **Location:** Cambridge, UK - **Experience:** Expert - **Salary:** £57,528.0 - £64,750.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Agile Methodology, Artificial Intelligence, Data Analysis, Health Informatics, Data Infrastructure, RAID, Interoperability, Operational Data Store, Performance Tuning, PRINCE2, Scrum Methodology, Power BI, Product Software Implementation Methods, SQL Databases, Tableau (Software), Data Logging, Data Processing, Information Technology, Deployment Automation - **Published:** August 1, 2026 - **Apply:** https://www.totaljobs.com/job/implementation-manager/cambridge-university-hospitals-job107777333 ## About the Role Essential * Post-gradudate degree in a relevant discipline (e.g., health informatics, data/analytics, computer science, engineering, healthcare service improvement or similar) OR equivalent senior-level experience delivering complex digital implementations. * Evidence of ongoing CPD relevant to digital delivery, analytics, service improvement, healthcare technology Desirable * Project/programme qualification (e.g., PRINCE2, MSP, AgilePM, Scrum, Lean/Six Sigma) * Training in AI systems evaluation, real-world evidence methods, clinical informatics or benefits realisation Experience Essential * Demonstrable experience leading large-scale, complex digital or AI projects or programmes with Trust-wide impact, ideally in healthcare or a similarly complex environment * Significant experience delivering digital/technology implementations end-to-end: requirements through testing/UAT, go-live/hypercare, stabilisation and BAU handover Desirable * Experience contributing to national digital/AI initiatives (e.g., NHS programmes, AHSN or similar) and/or participation in recognised leadership development programmes. * Experience in software implementation and post-market surveillance activities, including vigilance reporting. * Experience of implementing AI-enabled tools in a clinical or operational setting * Experience with SLA/OLA concepts, service transition and operational support models Knowledge Essential * In-depth knowledge of NHS digital strategy, AI governance and relevant regulatory frameworks (including information governance, clinical safety and cyber basics) sufficient to coordinate specialist functions * Understanding of AI tool performance at an operational level -- including concepts such as false positives/negatives, model drift, monitoring thresholds and data quality indicators * Knowledge of service-wide policy development and implementation in a complex healthcare environment * Knowledge of the UK regulatory landscape for AI in healthcare, including MHRA regulations as they apply to software as a medical device (SaMD) * Understanding of responsible AI principles -- transparency, explainability, bias and equity considerations -- and how these apply in a clinical deployment context * Sufficient understanding of clinical workflows and operational pressures in an acute NHS setting to credibly engage clinicians and identify implementation risks * Knowledge of benefits realisation methodology and how to design and track measurable outcomes from AI deployments Desirable * Understanding of health economics principles sufficient to articulate a value case for AI tools * Familiarity with NHS evaluation frameworks (e.g. NHS England Evaluation Framework, logic models, real-world evidence approaches) * Understanding of interoperability standards and health data infrastructure sufficient to engage technical teams * Familiarity with DTAC or equivalent assurance frameworks Skills Essential * Strong practical programme and project management skills: planning, milestones and dependencies, RAID, action tracking, decision logging, RAG reporting, change control, go-live readiness and BAU transition * Ability to interpret dashboards and operational metrics, form hypotheses, triage issues and translate findings into clear actions for clinical, digital and operational audiences * Advanced stakeholder leadership and influence skills, including confidence operating with and presenting to senior clinicians, operational leaders, IT/digital teams, suppliers and -- where required -- at Board or executive level. * Excellent written and verbal communication: produces concise, structured briefings and decision-oriented updates; able to translate technical information into clinically meaningful messaging. * Highly organised with the ability to prioritise effectively, manage competing demands and maintain control across multiple concurrent workstreams * Change management skills sufficient to embed new AI-enabled services into established clinical and operational workflows Desirable * Attention to detail in documentation and record-keeping. * Ability to establish repeatable playbooks/templates for deployment at scale * Hands-on experience with Power BI/Tableau; advanced Excel; SQL (read/query level) * Good negotiation and stakeholder management skills * Creative and innovative thinker * Ability to manage a portfolio view and standardise reporting across projects, * Pragmatic, risk-aware approach suited to patient-facing environments; understands confidentiality, appropriate data handling and when to escalate to specialist functions * Political awareness and the ability to operate effectively in a complex, multi-stakeholder NHS environment * Flexibility to respond to shifting organisational priorities, including the ability to deputise for the Head of Innovation Adoption and Collaboration as required * Willingness to work flexibly around critical implementation milestones (e.g. go-live and hypercare periods) and to travel across Trust sites as required Person Specification Qualifications Essential * Post-gradudate degree in a relevant discipline (e.g., health informatics, data/analytics, computer science, engineering, healthcare service improvement or similar) OR equivalent senior-level experience delivering complex digital implementations. * Evidence of ongoing CPD relevant to digital delivery, analytics, service improvement, healthcare technology Desirable * Project/programme qualification (e.g., PRINCE2, MSP, AgilePM, Scrum, Lean/Six Sigma) * Training in AI systems evaluation, real-world evidence methods, clinical informatics or benefits realisation Experience Essential * Demonstrable experience leading large-scale, complex digital or AI projects or programmes with Trust-wide impact, ideally in healthcare or a similarly complex environment * Significant experience delivering digital/technology implementations end-to-end: requirements through testing/UAT, go-live/hypercare, stabilisation and BAU handover Desirable * Experience contributing to national digital/AI initiatives (e.g., NHS programmes, AHSN or similar) and/or participation in recognised leadership development programmes. * Experience in software implementation and post-market surveillance activities, including vigilance reporting. * Experience of implementing AI-enabled tools in a clinical or operational setting * Experience with SLA/OLA concepts, service transition and operational support models Knowledge Essential * In-depth knowledge of NHS digital strategy, AI governance and relevant regulatory frameworks (including information governance, clinical safety and cyber basics) sufficient to coordinate specialist functions * Understanding of AI tool performance at an operational level -- including concepts such as false positives/negatives, model drift, monitoring thresholds and data quality indicators * Knowledge of service-wide policy development and implementation in a complex healthcare environment * Knowledge of the UK regulatory landscape for AI in healthcare, including MHRA regulations as they apply to software as a medical device (SaMD) * Understanding of responsible AI principles -- transparency, explainability, bias and equity considerations -- and how these apply in a clinical deployment context * Sufficient understanding of clinical workflows and operational pressures in an acute NHS setting to credibly engage clinicians and identify implementation risks * Knowledge of benefits realisation methodology and how to design and track measurable outcomes from AI deployments Desirable * Understanding of health economics principles sufficient to articulate a value case for AI tools * Familiarity with NHS evaluation frameworks (e.g. NHS England Evaluation Framework, logic models, real-world evidence approaches) * Understanding of interoperability standards and health data infrastructure sufficient to engage technical teams * Familiarity with DTAC or equivalent assurance frameworks Skills Essential * Strong practical programme and project management skills: planning, milestones and dependencies, RAID, action tracking, decision logging, RAG reporting, change control, go-live readiness and BAU transition * Ability to interpret dashboards and operational metrics, form hypotheses, triage issues and translate findings into clear actions for clinical, digital and operational audiences * Advanced stakeholder leadership and influence skills, including confidence operating with and presenting to senior clinicians, operational leaders, IT/digital teams, suppliers and -- where required -- at Board or executive level. * Excellent written and verbal communication: produces concise, structured briefings and decision-oriented updates; able to translate technical information into clinically meaningful messaging. * Highly organised with the ability to prioritise effectively, manage competing demands and maintain control across multiple concurrent workstreams * Change management skills sufficient to embed new AI-enabled services into established clinical and operational workflows Desirable * Attention to detail in documentation and record-keeping. * Ability to establish repeatable playbooks/templates for deployment at scale * Hands-on experience with Power BI/Tableau; advanced Excel; SQL (read/query level) * Good negotiation and stakeholder management skills * Creative and innovative thinker * Ability to manage a portfolio view and standardise reporting across projects, * Pragmatic, risk-aware approach suited to patient-facing environments; understands confidentiality, appropriate data handling and when to escalate to specialist functions * Political awareness and the ability to operate effectively in a complex, multi-stakeholder NHS environment * Flexibility to respond to shifting organisational priorities, including the ability to deputise for the Head of Innovation Adoption and Collaboration as required * Willingness to work flexibly around critical implementation milestones (e.g. go-live and hypercare periods) and to travel across Trust sites as required Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. ## Description As Senior AI Implementation Manager, you will lead the safe, effective and scalable implementation and operational oversight of multiple AI tools concurrently deployed across the Trust. You will provide senior, hands-on technical project leadership from readiness and testing through go-live, stabilisation and handover to BAU, ensuring AI-driven services are embedded into clinical and operational workflows and deliver measurable benefits. Once live, you will run routine monitoring using dashboards and operational data to identify issues early, escalate risk appropriately, and drive continuous improvement--translating AI performance metrics into clear operational actions and maintaining confidence among clinical, digital and operational stakeholders., At Cambridge University Hospitals, we want to do all we can to support good working days. We offer development opportunities and a wide range of benefits, including on-site leisure facilities, shopping concourse and day nurseries. Our good work programme currently includes providing reduced cost Stagecoach bus travel to and from Cambridge University Hospital site. Park and Ride bus journeys between Babraham Road and Trumpington sites are free, as is the route to and from Cambridge train station and our hospitals. We also subsidise the cost of parking on site for eligible staff. On CUH campus, hot food is available 24/7 and at a reduced cost for colleagues. Recently we launched the first of our staff pod break spaces. Located in the Deakin Centre, we have a purpose-created colleague-only caf, with free tea and coffee, a break space and private outside area for colleagues to rest, refuel and recharge. Just one of the ways we are working hard to support good working days at CUH. CUH is committed to assisting employees in achieving a good work-life balance irrespective of role or personal circumstances. Flexible arrangements may include, but are not limited to, part-time working, job-share, term-time working and flexible start and finish times. Please note if you would like to discuss the required hours of this role further, you should approach the contact given. 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