Principal Healthcare Data Consultant

Join Kainos and Shape the Future

At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.

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.

Ready to make your mark?
Join us and be part of something bigger.

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 account 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.

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.

• 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.

• 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.

• Staying informed on emerging trends in Healthcare Data and AI to identify opportunities…