At a Glance
- Tasks: Lead client engagements and shape data solutions in healthcare.
- Company: Kainos transforms digital services, focusing on impactful healthcare solutions.
- Benefits: Enjoy a hybrid work model and a supportive, people-first culture.
- Why this job: Make a real difference in healthcare with innovative data and AI solutions.
- Qualifications: Experience in data consulting, strong technical design skills, and excellent communication.
- Other info: Join a diverse team committed to equity and inclusion.
The predicted salary is between 54000 - 84000 £ per year.
Join Kainos and shape the future. At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration.
As a Principal Data Consultant for Pre-Sales, you will play a critical role in shaping and delivering data and AI opportunities across Kainos’ Healthcare business. You will work closely with our Healthcare Chief Technology Officer, account leads and delivery leaders to understand client needs, shape new opportunities, and design impactful Data and AI solutions that improve outcomes across the UK healthcare system.
You will lead client-facing engagements to define requirements, run exploratory workshops, and shape proposals that draw on your expertise in healthcare data and AI. This includes developing compelling bid responses, creating reusable accelerators and offerings, and providing subject matter assurance for delivery teams.
In addition to your pre-sales responsibilities, you will operate as a Lead Data Architect in delivery programmes. You will shape data strategy, design and deliver fit-for-purpose data architectures, and provide assurance across all stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance.
You will be expected to engage and build relationships with senior stakeholders in client accounts across national arms-length bodies (e.g. NHS England, UKHSA, NHSBSA), devolved administrations, regional health and care organisations, and clinical research bodies.
This is a high-impact, hybrid role that combines hands-on technical leadership with strategic consulting and business development, ideally suited to someone with a strong foundation in data architecture, consulting and a passion for advancing healthcare outcomes through data and AI.
You will be responsible for:
- Client Engagement and Pre-Sales
- Leading the shaping of early-stage client opportunities, including discovery sessions and exploratory workshops with senior stakeholders.
- Helping qualify opportunities and develop early-stage proposals and positioning materials.
- Working with account teams to develop compelling, solution-driven bid responses and presentations.
- Creating reusable Healthcare accelerators and offerings that leverage Data & AI.
- Acting as a trusted advisor to clients across national, regional and research-based healthcare organisations.
- Data Architecture and Delivery Assurance
- Leading or assuring the design of complex data and AI solutions that span data integration, analytics, AI/ML and interoperability.
- Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices.
- Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals.
- Advising clients on product and technology selection, and defining information handling models across data platforms.
- Supporting delivery teams by providing subject matter expertise, delivery assurance and hands-on delivery where appropriate.
- Offerings and Thought Leadership
- Creating reusable healthcare data and AI offerings and accelerators that support repeatable pre-sales and delivery activities.
- Helping define new go-to-market propositions, working with marketing, sales and delivery leads.
- Developing sales collateral that clearly articulates our value proposition in the healthcare space.
- Representing Kainos at industry events, panels and briefings to build credibility and network.
- Innovation
- Staying informed on emerging trends in Healthcare Data and AI to identify opportunities for applying cutting-edge technologies in client engagements.
- Driving innovation by applying market-leading tools and techniques that improve the quality and impact of our Data and AI proposals and delivered solutions.
- Promoting a culture of experimentation and improvement within the team.
- People management
- Leading, motivating and empowering individuals within the Data and AI practice, creating a positive, high-performing culture where people can grow.
Mandatory requirements:
- Experience working as a Data or AI consultant in a client-facing role, including shaping new opportunities and leading pre-sales activities.
- Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and governance.
- Proven experience delivering or assuring large-scale Data or AI programmes within the public sector or healthcare domain.
- Proven ability to act as a technical leader across complex data delivery programmes, including mentoring, standards development, and architecture assurance.
- Excellent communication and influencing skills, with the ability to operate confidently with C-level and Director-level stakeholders.
- Broad technology understanding, including modern data platforms, data integration, analytics, AI/ML, data governance and cloud technologies.
- Highly proficient in at least three mainstream data technologies and aware of wider data technology trends.
- Experience working across the full sales lifecycle, from early shaping through to pitch and close.
Desirable requirements:
- Experience working with UK healthcare bodies such as DHSC, NHS England, UKHSA, NHSBSA, devolved nations, ICSs and clinical research bodies.
- Deep understanding of healthcare data, interoperability (e.g. FHIR, HL7, SNOMED), and the use of data and AI to improve public health and clinical outcomes.
- Experience in designing or delivering secure data environments (SDEs) or similar research-oriented data platforms.
- Understanding of the practical application of GenAI and large language models in Healthcare.
- Experience with public sector procurement processes.
- Enterprise data architecture experience.
- Experience developing go-to-market offerings, accelerators or reusable assets.
- Involvement in industry forums, advisory groups or standards bodies relevant to healthcare data.
About Kainos Healthcare
Kainos is a digital technology company that has been delivering impactful transformation across healthcare, public sector and commercial clients for over 30 years. Our Healthcare business is a trusted partner to organisations including NHS England, UKHSA, DHSC, and regional care systems. We specialise in designing and delivering national-scale services that improve patient care, modernise clinical and operational systems, and enable better use of data for decision-making and research. Our work includes Secure Data Environments (SDEs), data platforms, digital front doors, and health protection systems that support the UK’s response to infectious disease threats.
This role sits within our Data and AI Practice and will help shape the next generation of data-driven services in UK healthcare.
Embracing our differences
At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field.
Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.
Principal Healthcare Data Consultant (Basé à London) employer: Golden Bees
Contact Detail:
Golden Bees Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Healthcare Data Consultant (Basé à London)
✨Tip Number 1
Familiarise yourself with the latest trends in healthcare data and AI. This will not only help you understand the industry better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the healthcare data sector, especially those connected to Kainos. Attend industry events or webinars where you can meet potential colleagues and learn more about the company culture and expectations.
✨Tip Number 3
Prepare to discuss your experience with public sector procurement processes and how you've successfully navigated them in past roles. This is crucial for a position that involves working with NHS and other healthcare bodies.
✨Tip Number 4
Be ready to demonstrate your technical expertise in data architecture and AI solutions. Think of specific examples from your previous work that highlight your ability to lead complex projects and deliver impactful results.
We think you need these skills to ace Principal Healthcare Data Consultant (Basé à London)
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Principal Healthcare Data Consultant position. Highlight key responsibilities and required skills, ensuring you understand how your experience aligns with these.
Tailor Your CV: Customise your CV to reflect the specific skills and experiences that Kainos is looking for. Emphasise your expertise in data architecture, healthcare data, and any relevant consulting experience.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also demonstrates your passion for improving healthcare outcomes through data and AI. Use specific examples from your past work to illustrate your points.
Showcase Your Communication Skills: Since the role involves engaging with senior stakeholders, ensure your application reflects strong communication skills. Use clear, concise language and consider including examples of successful stakeholder engagement in your previous roles.
How to prepare for a job interview at Golden Bees
✨Understand the Role and Company
Before your interview, make sure you thoroughly understand the Principal Healthcare Data Consultant role and Kainos as a company. Familiarise yourself with their projects, values, and recent developments in healthcare data and AI. This will help you tailor your responses and demonstrate genuine interest.
✨Prepare for Technical Questions
Given the technical nature of the role, be ready to discuss your expertise in data architecture, data modelling, and AI solutions. Prepare examples from your past experiences that showcase your ability to lead complex data delivery programmes and how you've successfully engaged with stakeholders.
✨Showcase Your Communication Skills
As you'll be interacting with senior stakeholders, it's crucial to demonstrate excellent communication skills. Practice explaining complex concepts in simple terms and be prepared to discuss how you've influenced decision-making in previous roles.
✨Highlight Your Innovative Mindset
Kainos values innovation, so be ready to share examples of how you've driven change or introduced new ideas in your previous positions. Discuss any emerging trends in healthcare data and AI that excite you and how you envision applying them in your work.