Data & AI Lead – Healthcare

Company: Kainos
Apply for the Data & AI Lead – Healthcare
Location: Birmingham
Job Description:

Overview

As a Principal Healthcare Data Consultant for Pre-Sales, you shape data and AI opportunities within Kainos Healthcare, guiding senior stakeholders and cross-functional teams. You combine pre-sales leadership with delivery expertise as Lead Data Architect to design scalable data solutions that improve healthcare outcomes. The role blends strategic consulting with hands-on architecture and takes on senior stakeholder engagement with national and regional healthcare bodies. You’ll craft go-to-market offerings, accelerate reusable assets, and drive data-driven transformation in UK healthcare.

Responsibilities

  • Lead early-stage client opportunities through discovery sessions and workshops with senior stakeholders
  • Qualify opportunities and develop initial proposals and positioning materials
  • Collaborate with account teams to create compelling bid responses and presentations
  • Create reusable Healthcare accelerators and offerings leveraging Data & AI
  • Act as trusted advisor to national, regional, and research-based healthcare organizations

Key requirements

  • Experience as a Data or AI consultant in a client-facing role with pre-sales ownership
  • Strong technical design in data architecture disciplines (data modelling, metadata management, data transformation, governance)
  • Proven delivery or assurance of large-scale Data/AI programmes in public sector or healthcare
  • Ability to lead technical delivery programmes, including mentoring and architecture assurance
  • Excellent communication and influencing skills with C-level and Director stakeholders
  • Broad understanding of modern data platforms, data integration, analytics, AI/ML, governance, and cloud technologies
  • Proficiency in at least three mainstream data technologies
  • Experience across full sales lifecycle from shaping to close
  • communication
  • influence
  • leadership
  • data modelling
  • metadata management
  • data transformation

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Posted: October 1st, 2026