Head of Data & AI Consulting

Director of Data & Analytics Consulting

As Director of Data & Analytics Consulting, you will lead and develop a high-performing team responsible for delivering data-driven solutions to clients, primarily within the financial services sector. You will define and execute data and analytics strategies that drive measurable business outcomes, ensuring all engagements are delivered efficiently, on time, and to a high standard of quality.

Key Responsibilities

• Lead, mentor, and manage a team of data and analytics consultants, ensuring they are equipped with the skills, tools, and support needed to deliver impactful client solutions.
  


• Define and implement data and analytics strategies aligned with client business objectives.
  


• Conduct data maturity assessments to identify gaps, opportunities, and priorities, and develop actionable data roadmaps.
  


• Establish and oversee data governance frameworks to enhance data quality, accessibility, security, and regulatory compliance.
  


• Oversee the design and delivery of data models, pipelines, and visualisations in line with best practices and client requirements.
  


• Drive the development of analytics capabilities, including advanced analytics, data science, and AI, to generate actionable insights.
  


• Ensure analytics solutions are effectively embedded into client business processes to maximise value.
  


• Manage project delivery, including planning, resourcing, budgeting, and quality assurance.
  


• Identify project risks and implement mitigation strategies to ensure successful outcomes.
  

Requirements

Requirements

• Master’s degree in a relevant discipline (e.g. Computer Science, Statistics, Business Administration, or similar).
  


• Extensive experience in data and analytics consulting or a related field, including significant leadership experience within the insurance sector.
  


• Strong understanding of data strategy, governance, and modern data platforms and tools.
  


• Proven experience in data assessments, governance frameworks, data modelling, pipelines, and visualisation.
  


• Experience in advanced analytics, including data science, machine learning, and AI.
  


• Excellent stakeholder management and communication skills, with the ability to engage at all organisational levels.
  


• Strong analytical mindset with a data-driven approach to decision-making.
  


• Fluency in English; additional European languages (e.g. Dutch or French) are advantageous.
  


• Relevant professional certifications (e.g. CDA, CBIP) are a plus.