ABOUT US

As a leading group of companies, the ECA International Group stands as a global frontrunner in simplifying international mobility. Our collective vision is to make a positive impact by delivering exceptional products and services to our prestigious list of large enterprise clients.
Our global presence across the UK, EU, Hong Kong, Australia, and the US offers our team a world of opportunities, and our commitment to innovation ensures that you will be at the leading edge of your field.
We love to invest in our people’s success and development pathways, creating a diverse and inclusive community where your unique talents shine. Your work here has a global impact, and we prioritise work-life balance, offering flexibility to enable you to perform your best. Join us to experience a rewarding career where your potential is celebrated, and your journey to excellence begins.

EDUCATION

• Bachelor’s or Master’s degree in Data Science, Artificial Intelligence, Business Analytics, Computer Science, or a related field.
• A PhD in a relevant discipline is advantageous.

EXPERIENCE

• At least 10 years of experience in data, analytics, or AI, with 5+ years in a senior leadership role.
• Proven success in managing automation, analytics, and research functions, particularly in transitioning to new platforms.
• Expertise in cloud-based solutions (e.g., AWS) and data migration projects.

LEADERSHIP SKILLS

• Exceptional leadership, project management, and team-building capabilities.
• Strategic thinker with a hands-on approach to problem-solving.
• Excellent communication skills, with the ability to convey technical concepts to diverse audiences.
• Proven track record of managing a departmental P&L

ABOUT THE ROLE

We are seeking a results-driven Director of Data Analytics and AI to lead our Automation & AI and Analytical Research & Insight functions. You will drive the transformation of data operations to align with the capabilities of the new Expert Platform, ensuring that both functions seamlessly migrate to and serve its evolving needs and shape the future of how we collect, process, and leverage data, driving automation and intelligent analytics across the organisation.
Reporting to the Chief Product and Technical Officer (CPTO), you will work closely with the Director of Innovation and the Director of Product to ensure the adoption and productionisation of data automation and AI and advocate for innovative approaches to data collection, analytics, and research while maintaining a strong focus on governance, security, and ethical AI practices that benefit the organisation and its customers.
This is a strategic leadership role, pivotal in aligning data functions with our new Expert Platform and accelerating our use of AI to deliver real-world value to clients.

KEY RESPONSIBILITIES:

• Strategic Leadership
• 
  
  
  
• Define and drive the strategic vision for AI, data analytics, and automation.

• Lead the transformation of data operations aligned with the Expert Platform.
• Act as a thought leader in AI, analytics innovation, and data strategy.
• Automation and AI
• 
  
  
  
• Build and lead a high-performing team of AI engineers and data scientists.

• Develop scalable AI models, automation pipelines, and intelligent workflows.
• Champion emerging AI tech (e.g., AI agents, generative models).
• Ensure strong governance, ethical standards, and security in all AI initiatives.
• Analytical Research and Insight
• 
  
  
  
• Oversee delivery of advanced analytics, dashboards, and research outputs.

• Generate actionable client and business insights via the Expert Platform.
• Identify emerging trends and explore new, valuable data domains.
• Innovation and Integration
• 
  
  
  
• Collaborate with Product and Innovation leaders to integrate AI into products.

• Promote adoption of automation and advanced analytics across the organisation.
• Governance and Security
• 
  
  
  
• Implement governance frameworks for data quality, compliance, and ethical AI.

• Apply best practices in AI transparency, security, and data privacy.
• Team Leadership
• 
  
  
  
• Inspire and mentor a multidisciplinary team of analysts, scientists, and engineers.

• Foster a culture of innovation, inclusion, and continuous learning.
• Drive upskilling and capability-building aligned with future tech trends.
• Stakeholder Engagement
• 
  
  
  
• Act as a strategic liaison across departments, translating complex AI concepts.

• Engage internal and external stakeholders to advance data and AI strategy.