
Principal Healthcare Data Consultant
- United Kingdom
- Permanent
- Full-time
- 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 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.
- Leading, motivating and empowering individuals within the Data and AI practice, creating a positive, high-performing culture where people can grow.
- 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.
- 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.