Director of AI and Data

ometria
1 year ago
Applications closed

Related Jobs

View all jobs

Data Science and AI Specialist

Data Scientist - 6 month FTC

Software Engineer - (Machine Learning Engineer) - Hybrid

Real World Data Scientist (Associate Director)

Product Data Scientist

Head of Data Science -Telematics

We are looking for a

Director of AI and Data as we continue to develop and evolve the AI components of the Ometria Customer Data and Experience Platform, and continue on our journey of being the leading CDXP for enterprise retail brands.

Ometria’s CDXP has over a dozen AI features, and manages almost a billion first-party customer profiles. Ometria Architect is our unique AI-powered strategic insights product, leveraging 15 proprietary algorithms and trained on a dataset of 30 billion retail-specific data points. 

You’ll be Ometria’s leading AI and Data Science expert, reporting into the Chief Technology Officer and working closely with the Product Leadership team, as well as product managers, product designers, domain experts and engineers.

You will focus on ideating, designing and developing AI features as well as evolving Ometria’s proprietary Architect offering, ensuring that we achieve our commercial objectives of winning new business and retaining customers. 

Key outcomes:

Ideate and design AI functionality - you will come up with and design AI features for the Ometria CDXP platform, focusing on the commercial objectives of winning new business and retaining customers.  Evolve Ometria’s proprietary Architect offering - you will identify and design improved elements of the Architect offering in order to drive increased adoption and value. Develop pragmatic, functional models - you will develop the models and algorithms necessary for any AI features, ensuring that they are functional, effective, and pragmatic.

Key responsibilities:

Client and investor presentations - you will present Ometria’s AI offering to clients, prospects and investors, ensuring they are left confident of our AI offering and our approach.  RFPs and documents - you will write written responses and documents relevant to AI, as needed in order to win and retain clients.

Requirements

Competencies and experience:

AI product experience - Extensive experience owning, designing, and delivering commercial AI products. AI experience - Commercial expertise in machine learning and computational statistics, most likely with a relevant PhD. Retail experience - you have specific experience in retail / ecommerce / D2C marketing, and fundamentally understand how this kind of business works and therefore how it can be improved with AI Creative - you’re able to ideate and come up with creative ideas, whether for features or for solutions. Pragmatic - you demonstrate the ability to identify an optimal path and solution, focusing on time to value vs perfection.  Commercial - you demonstrate a clear understanding of the business priorities, and the ability to base your decisions on these. Strong communicator - you have excellent verbal and written communication skills and are very comfortable presenting to key commercial stakeholders.

Benefits

30 days holiday + 1 day on your birthday (plus bank holidays) Mental Health Support (Spill, Calm) Cycle to work scheme Enhanced Financial Benefits (Salary Sacrifice Pension, DIS, Income Protection) Professional Development Fund Fully remote work policy

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.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.