National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Director of Data Analytics and AI (Basé à London)

Jobleads
Greater London
3 days ago
Create job alert

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.

About the Role

We are seeking a results-drivenDirector of Data Analytics and AIto 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.

The Ideal Candidate:

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.

Technical Expertise

  • Advanced knowledge of AI/ML technologies, automation tools, and analytics platforms.
  • Strong understanding of data integration, pipelines, and cloud-based workflows.
  • Proficiency in programming languages (e.g., Python, R, SQL) and data visualisation tools.

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

What’s in it for you

  • Enhanced Stakeholder Pension Contribution
  • 25 days annual leave
  • Health, Life Insurance + EAP Wellbeing Support
  • Eligible for Annual Bonus Scheme
  • Long Service Awards
  • ️️ ClassPass Membership
  • Enhanced Family Leave
  • Up to £1,000 per year for personal development & training
  • Season Ticket Loan
  • Flexible/hybrid Work Environment
  • Cycle to Work Scheme
  • Free Eye Test

Our Team and Culture

We are a super friendly team that thrives on collaboration and supporting each other. We cultivate an environment where everyone feels valued and empowered to contribute their best work, helping us to realise our ambitious growth goals and mission.

Our hybrid working structure includes spending around two days a week at our Head Office in Holborn, London, in a great space filled with creative, colourful.

Need a change of scenery? Our breakout areas have comfortable seating and cool décor where you can work in your own space. Not to mention, being in the hub of the West End, we’re surrounded by many cafes and restaurants and are just a hop, skip, and a jump from the tube.


#J-18808-Ljbffr

Related Jobs

View all jobs

Director of Data Analytics and AI

Head of Data Analytics

Senior Data Scientist

Director-Data Science and Analytics

Director-Data Science and Analytics

Director-Data Science and Analytics

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.