Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

SVP Data

Altus Partners
London
1 year ago
Applications closed

THE SEARCH:

Altus Partners are excited to be partnered with an investor-backed Software Unicorn which has secured significant funding from some of the world’s leading Private Equity, and Venture Capital funds. The business has a global presence and this role can be based either from London, Madrid, or Oslo.



The information below covers the role requirements, expected candidate experience, and accompanying qualifications.

My client are seeking an experienced, innovative and energetic SVP Data to shape their end-to-end data vision, and unlock the power of the data they gather across their ecosystem, which supports many thousands of transactions per hour.


As part of the senior leadership team, and reporting directly into the CTO, this individual needs to be a leader who not only excels in the technical dimensions of data and AI but is also visionary in using data to propel business growth, enhance customer experience, and drive digital transformation.



THE ROLE:

  • Leverage data in creative ways to drive business growth and operational excellence
  • Manage complex high-volume transactional data systems, understanding the challenges and opportunities of scaling in such environments
  • Hire, mentor, and lead a team of data scientists, analysts, and data engineers in a fast paced entrepreneurial environment
  • Implement AI and machine learning models into business processes to drive efficiency and innovation
  • Effectively communicate complex technical concepts to non-technical senior stakeholders
  • Innovate via the latest industry trends and advancements in analytics tools and technologies and evaluate their potential to improve data and AI capabilities
  • Drive a culture of data-driven decision making within the organization, promoting the use of analytics to drive continuous improvement


THE REQUIREMENTS:

  • Minimum of 10 years of experience in data science, analytics, and/or business consulting
  • Deep understanding of and hands-on experience with data technologies including SQL/NoSQL databases, data warehousing solutions, data lakes, and cloud-based analytics platforms
  • Excellent knowledge of data protection regulations and the ability to implement frameworks that ensure data integrity, confidentiality and compliance
  • The desire to ‘build’
  • Advanced Degree in Data Science, Computer Science, or related field

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.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

Jobs

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.