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Baringa

Baringa - Manager - Health

London, United Kingdom - Hybrid4w ago
In OfficeSeniorEMEAGovernmentSurgeonPlant ManagerGovernanceClaudeCoaching

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Requirements

• Experience navigating senior client environments. You are comfortable being challenged by a CDIO on data privacy or by a Surgeon on clinical accuracy • You understand how the NHS (or wider Government) actually functions. You know that a great AI tool is useless if it doesn't fit into the clinical workflow or meet Information Governance (IG) standards. • Deep, hands-on experience with at least one major AI ecosystem. You have delivered use cases at scale—moving from a playground environment to a project that has been rolled out to users. • You enjoy lifting the hood and showing others how to build. You are a coach who empowers juniors to become technical practitioners themselves. • You have a healthy skepticism of AI hype. You focus on the impact and constraints of the technology, ensuring expectations are managed through real-world performance. • What a career at Baringa will give you • Putting People First. • Baringa is a People First company and wellbeing is at the forefront of our culture. We recognise the importance of work-life balance and flexible working and provide our staff amazing benefits. Some of these benefits include: • Generous Annual Leave Policy: We recognise everyone needs a well-deserved break. We provide our employees with 5 weeks of annual leave, fully available at the start of each year. In addition to this, we have introduced our 5-Year Recharge benefit which allows all employees an additional 2 weeks of paid leave after 5 years continuous service. • Flexible Working: We know that the ‘ideal’ work-life balance will vary from person to person and change at different stages of our working lives. To accommodate this, we have implemented a hybrid working policy and introduced more flexibility around taking unpaid leave. • Corporate Responsibility Days: Our world is important to us, so all our employees get 3 every year to help social and environmental causes and increase our impact on the communities that mean the most to us. • Wellbeing Fund: We want to encourage all employees to take charge and prioritise their own wellbeing. We’ve introduced our annual People Fund to support this by offering every individual a fund to support and manage their wellbeing through an activity of their choice. • Profit Share Scheme: All employees participate in the Baringa Group Profit Share Scheme so everyone has a stake in the company’s success. • Diversity and Inclusion

Responsibilities

• Technical & Clinical Bridging: Lead complex discussions with CDIOs and IT leads regarding technical integration (e.g., security, latency, MCPs) while simultaneously engaging Doctors and Transformation Leads on clinical safety and workflow efficiency. • Demo-Led Pitching: Replace abstract theory with live, hands-on demonstrations. You will develop and deliver GenAI demos for executive training that prove value in real-time, handling sceptical stakeholders through evidence-based technical "show and tell." • Collateral Development: Create high-quality pitch decks and transformation roadmaps that are grounded in technical reality, not just consulting frameworks. • Active Prototyping: Directly build and configure use cases in Claude, ChatGPT, or Microsoft Copilot. You are expected to be "under the hood" of these tools daily. • Technical Connectivity (MCP): Implementation of Model Context Protocols to demonstrate how AI can securely and effectively interact with health data environments and external tools. • Horizon Scanning: Maintain a deep, "practitioner-level" understanding of the latest GenAI releases, specifically focusing on how new features (like Claude’s Computer Use or GPT’s Advanced Voice) apply to a pressurized NHS environment. • Practice Contribution: Actively contribute to Baringa’s internal AI adoption initiatives. Share "what works" from the field to help upskill the broader Health practice and refine our internal AI toolkits. • Tool-Based Coaching: Mentor junior team members not just in "prompting," but in the effective application of AI tools and technical development. You will teach them how to evaluate model performance and select the right tool for the specific health use case.

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