At a Glance
- Tasks: Lead innovative data and AI solutions in the healthcare sector.
- Company: Join Kainos, a forward-thinking tech company transforming healthcare.
- Benefits: Enjoy a hybrid work model, competitive salary, and growth opportunities.
- Other info: Be part of a diverse team that values creativity and collaboration.
- Why this job: Make a real impact on healthcare outcomes with cutting-edge technology.
- Qualifications: Experience in data architecture and client-facing roles required.
The predicted salary is between 36000 - 60000 € 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.
Role Overview: 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 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.
- 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.
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.
Principal Healthcare Data Consultant in Birmingham employer: Lifelancer
At Kainos, we pride ourselves on being an exceptional employer, offering a vibrant hybrid work culture in Birmingham that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment where your ideas are valued, allowing you to make a meaningful impact in the healthcare sector. Join us to be part of a diverse team dedicated to transforming healthcare through cutting-edge data and AI solutions, while enjoying the unique advantages of working in a forward-thinking company that prioritises diversity, equity, and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Healthcare Data Consultant in Birmingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the healthcare data field and let them know you're on the lookout for opportunities. A friendly chat can lead to referrals or insider info about openings at Kainos.
✨Tip Number 2
Prepare for those interviews by brushing up on your knowledge of healthcare data and AI trends. We want to see your passion for the industry, so be ready to discuss how you can make an impact at Kainos!
✨Tip Number 3
Showcase your expertise! Create a portfolio or case studies that highlight your previous work in data architecture and consulting. This will help us see your skills in action and how you can contribute to our team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in joining the Kainos family.
We think you need these skills to ace Principal Healthcare Data Consultant in Birmingham
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Principal Healthcare Data Consultant role. Highlight your relevant experience in data architecture and AI, and show how your skills align with Kainos' mission to improve healthcare outcomes.
Showcase Your Impact:When detailing your past roles, focus on the impact you've made. Use specific examples of how you've shaped data strategies or led successful projects in healthcare. This will help us see your potential to contribute to our team.
Be Authentic:Let your personality shine through in your application. We value creativity and collaboration, so don’t hesitate to share your unique perspective and ideas on how to drive innovation in healthcare data.
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. This way, your application will be reviewed by our friendly talent acquisition team, who are here to support you throughout the process.
How to prepare for a job interview at Lifelancer
✨Know Your Data Inside Out
As a Principal Healthcare Data Consultant, you need to be well-versed in data architecture and AI solutions. Brush up on your knowledge of data modelling, metadata management, and governance practices. Be ready to discuss how you've applied these concepts in real-world scenarios, especially within the healthcare sector.
✨Engage with Stakeholders
This role involves working closely with senior stakeholders, so practice your communication skills. Prepare to articulate how you can address their needs and improve outcomes through data solutions. Think of examples where you've successfully engaged with clients or led workshops to shape proposals.
✨Showcase Your Innovation Mindset
Kainos values innovation, so come prepared with ideas on how to leverage emerging trends in healthcare data and AI. Share any experiences where you've driven innovation or improved processes. This will demonstrate your proactive approach and ability to think outside the box.
✨Prepare for Technical Questions
Expect to face technical questions related to data integration, analytics, and AI/ML. Review key concepts and be ready to explain your thought process in designing complex data solutions. Highlight your experience with mainstream data technologies and how they can be applied in the healthcare context.