Head of CRM & Insights

Leicester
2 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Head of Commercial Analysis and Reporting

Head of Engineering

Head of Data

Head of Software Engineering | £150k – Java, Machine Learning, and Data-Driven Innovation

Head of Internal Audit

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

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.