At a Glance
- Tasks: Lead client engagements and shape data solutions in healthcare.
- Company: Kainos transforms digital services for healthcare, enhancing patient care through innovative technology.
- Benefits: Enjoy a hybrid work environment, professional growth opportunities, and a supportive team culture.
- Why this job: Make a real impact on healthcare outcomes while collaborating with diverse, creative teams.
- Qualifications: Experience in data architecture and consulting, with strong communication skills and technical expertise.
- Other info: Join a company committed to diversity, equity, and inclusion in the workplace.
The predicted salary is between 43200 - 72000 £ 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 employer: Golden Bees
Contact Detail:
Golden Bees Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Healthcare Data Consultant
✨Tip Number 1
Familiarise yourself with the latest trends in healthcare data and AI. Understanding current technologies and methodologies will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the healthcare data sector, especially those connected to Kainos. Engaging with industry events or forums can provide insights and potentially lead to referrals.
✨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
Showcase your leadership skills by discussing any mentoring or team-building experiences you've had. Kainos values a positive culture, so demonstrating your ability to empower others will set you apart.
We think you need these skills to ace Principal Healthcare Data Consultant
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Principal Healthcare Data Consultant position. Understand the key responsibilities and required skills, especially in data architecture and AI, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience in healthcare data and AI consulting. Provide specific examples of past projects where you led client engagements or shaped data solutions, particularly in public sector or healthcare settings.
Showcase Technical Skills: Clearly outline your technical expertise in data architecture disciplines such as data modelling, metadata management, and governance. Mention any relevant technologies you are proficient in, as well as your understanding of modern data platforms and AI/ML.
Craft a Compelling Cover Letter: Write a cover letter that not only reflects your qualifications but also conveys your passion for improving healthcare outcomes through data and AI. Make sure to connect your personal values with Kainos' mission and culture, demonstrating why you would be a great fit for their team.
How to prepare for a job interview at Golden Bees
✨Understand the Role and Responsibilities
Before your interview, make sure you thoroughly understand the job description. Familiarise yourself with the key responsibilities of a Principal Healthcare Data Consultant, especially around client engagement, data architecture, and pre-sales activities. This will help you articulate how your experience aligns with their needs.
✨Showcase Your Technical Expertise
Be prepared to discuss your technical skills in data architecture, AI, and healthcare data management. Highlight specific projects where you've successfully implemented data solutions or led teams in complex environments. This will demonstrate your capability to fulfil the role's requirements.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities and how you handle client engagements. Think of examples from your past experiences where you shaped opportunities or led workshops, and be ready to explain your thought process and outcomes.
✨Engage with the Interviewers
During the interview, engage actively with your interviewers. Ask insightful questions about Kainos' current projects, their approach to healthcare data, and how they envision the future of AI in healthcare. This shows your genuine interest in the company and the role.