Director, Data Strategy - Permanent

HugoMRM
London
1 year ago
Applications closed

Related Jobs

View all jobs

Associate Director, Data Engineering & Platform Strategy

Senior Director, Data Science and Analytics

Head of Data Science -Telematics

Lead Data Engineer (Azure)

Data Analyst

Product Data Scientist

Hugo & Cat, an exciting London-based customer experience agency, is seeking an ambitious Director of Data Strategy to join our growing team of strategists. You will work with a diverse global client base, leveraging your expertise to develop data strategies, optimise performance, and deliver insightful reporting.

Your passion for data will be critical in driving Hugo & Cat’s growth and expanding our capabilities into data science, AI and beyond. As a key member of our strategy team, you will have the opportunity to lead high-impact projects and collaborate with talented professionals in a fast-paced environment.

Data strategists collaborate across Hugo & Cat, interacting with clients, designers, experience strategists, specialists, researchers, product owners and others across our team. The role is designed to embed a strong core data and analytical skills and a consultative approach to craft data strategies and evidence value across end to end customer and colleagues experiences.

Your responsibilities will include:

  • Ownership of data and insight across global client accounts
  • Identification of opportunities for data-driven projects and associated proposal definition
  • Definition of data strategies to help clients articulate the value of digital initiatives
  • Facilitation of workshops to identify key performance indicators
  • Analysis of client datasets and presentation of strategic insight to client stakeholders and internal teams
  • Definition of data tooling and backend architecture
  • Set the direction for the Implementation of:
    • Web analytics platforms  (Google Analytics, Adobe Analytics, Amplitude, etc.)
    • Customer data platforms (Sitecore CDP, Segment, etc.)
    • Advanced tag management systems (Google Tag Manager, Tealium, etc.)
  • Driving SEO optimisation through the definition of SEO keywords and technical implementation best practice
  • Designing and creating real-time automated performance monitoring dashboards
  • Application of data science and machine learning techniques to solve complex problems
  • Driving strategic thinking on large-scale, challenging transformation engagements with support from the Head of Strategy and the broader team
  • Developing and implementing innovative ways to help solve client needs through digital transformation
  • Collaborating with multidisciplinary teams to lead hypothesis development, conduct and manage research & analysis and formulate insightful and actionable recommendations for our clients
  • Working with UX, Service Design, Engineering, and Delivery teams through defining strategic vision, measuring and quantifying the business impact, and crafting compelling narratives to drive change
  • Support new business initiatives by designing recommended approaches and developing perspectives that differentiate our approach for clients
  • Support the development of a vibrant culture through leadership, development, and participation in social activities
  • Manage, coach, and develop junior strategists to help improve their craft

Requirements

We’re looking for:

  • Relevant experience: 4-6+ years of delivering data strategy or web analytics and reporting services in a consulting or agency environment developing and implementing digital and marketing strategies
  • Core consulting skills, including, research analysis and synthesis, workshop facilitation, strategy development, storytelling and process mapping
  • Experience driving CRO programmes and a passion for continuous improvement, experimentation and optimisation
  • An advanced understanding of the Google 360 suite, including: Google Analytics, Google Tag Manager, Google Data Studio, Google Ads
  • An advanced understanding of SQL
  • Experience with code and automation using Python, R or similar programming languages

It would also be beneficial if you have:

  • Previous experience with SEO
  • Experience working with CDP or DMP platforms
  • Experience with data science fundamentals
  • Experience of additional BI tools such as Tableau or PowerBI

Benefits

About Hugo & Cat
Hugo & Cat is a customer experience agency that creates next-level experiences for ambitious brands. We specialise in Customer Experience (CX), CRM & Loyalty, and Technology Transformation to give companies a competitive edge. Our seamlessly integrated teams work fast and put people at the heart of decision making to unlock value and create enduring brand relationships. As business is ever changing, we design experiences that evolve. Because great brands simply can’t afford to stand still.

Our culture
At Hugo & Cat, we believe each day demands fresh thinking and bold new ideas. We’re an enthusiastic, diverse and sociable group of people working together to craft inspiring solutions for our clients and their customers. We never stand still. Even in the moment, we’re thinking “what comes next?”  

Flexible working
We’ve evolved to embrace flexible working where employees can split their time between the office and working remotely. We can discuss details during the interview process. 

Equal opportunities
We’re an equal opportunities employer and are committed to a fair and unbiased assessment of job applications. Once you join the team, we support you to realise your potential, regardless of age, origin, ethnicity, gender, sexual orientation, physical abilities or beliefs.

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

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Education Jobs

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

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Jobs

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

🍪 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.