Head of CRM & Insights

Leicester
11 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Data science programme lead

Senior Data Analyst - HOTH, Permanent

Data science programme lead

Head of CRM & Insights | The Midlands | Hybrid | Salary up to £95k Basic + Bonus + Pension + Car Allowance

Our client is a leading multi-channel retailer, based in The Midlands, and are looking to appoint a Head of CRM & Insights to the team. This role is a pivotal position designed to leverage data and customer insights to drive business growth.

The Head of CRM & Insights will play a critical role in shaping and executing the company's customer relationship management and insight strategies. This individual will be responsible for driving customer retention, engagement, and loyalty across all channels by using data aggregation techniques and personalisation strategies. The role will require a deep understanding of customer data, the ability to extract actionable insights, and the expertise to tailor CRM campaigns to individual customer preferences.

The successful candidate will manage a team and work collaboratively across departments to ensure CRM and insight strategies align with the overall business objectives.

Key Responsibilities In The Position of Head of CRM & Insights

Customer Insights & Analytics: Lead the aggregation and analysis of customer data from various touchpoints, including website interactions, transaction history, and customer feedback. Leverage this data to develop actionable insights and create a deep understanding of customer behaviours, preferences, and needs.
Personalisation: Use data aggregation to drive personalisation strategies across all customer touchpoints. Ensure tailored and relevant messaging, product recommendations, and offers are delivered to customers based on their individual behaviour and preferences.
Cross-functional Collaboration: Work closely with Marketing, Sales, IT, and other departments to ensure CRM initiatives are integrated across the business. Collaborate with the Data Science and Analytics teams to ensure data aggregation efforts align with CRM and personalisation objectives.
Data Aggregation Tools & Platforms: Champion the use of data aggregation tools and CRM platforms to ensure a single customer view is established. Work with relevant teams to continuously enhance data collection, integration, and management processes.
Reporting & Budgeting: Regularly report on the effectiveness of CRM initiatives, customer insights, and campaign results to senior management. Develop and manage the CRM & Insight budget to ensure resources are allocated efficiently.
Technology & Tools: Stay up-to-date with the latest CRM technologies and tools. Ensure the company is using the most effective platforms to aggregate and personalise customer data, driving CRM success and customer insights.
Customer Experience: Work alongside the customer service and digital teams to ensure that CRM efforts align with the overall customer journey, enhancing both online and offline experiences through consistent and personalised communication.
Compliance: Ensure all CRM strategies and customer data management practices comply with relevant data protection and privacy laws, including GDPR.To Be Considered For The Position of Head of CRM & Insights, You Will Offer The Following:

Education: A degree in Marketing, Business, Data Analytics, or a related field is preferred.
Track Record: A minimum of 8 years of in CRM, customer insight, or a related role, with at least 3 years in a leadership position. Experience within a multichannel retail environment is highly desirable.
CRM Platforms & Tools: Strong proficiency in CRM platforms (e.g., Salesforce, Microsoft Dynamics, or similar), data aggregation tools, and personalisation software.
Data Analytics & Personalisation: Proven in using data aggregation techniques to create a unified customer profile and develop targeted, personalised experiences.
Campaign Management: Proven in planning, executing, and optimising CRM campaigns, with a focus on personalisation and delivering results based on data-driven decisions.
Customer-Centric: Deep understanding of customer experience principles, with a passion for driving improvements in customer loyalty and engagement.
Compliance Knowledge: Knowledge of data protection laws, including GDPR, and experience in ensuring CRM practices align with legal requirements.Apply today to find out more and be considered!

BBBH32792

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 Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.