Senior Digital Content Marketing Executive

East Grinstead
1 month ago
Applications closed

Related Jobs

View all jobs

Remote Head of Digital Marketing & eCommerce - Luxury Bathrooms

Data Analyst, AFRS

Senior Business Intelligence Analyst (Digital and Engagement)

Business Development Manager - Digital Tech for Leisure & Cinemas

Senior Data Scientist (Generative AI) - RELOCATION TO ABU DHABI

Senior Research Manager

Are you passionate about content and looking for your next challenge? If the answer is yes, then we'd love to hear from you!

Lloyd Recruitment Services is thrilled to partner with a leading organisation in the search for a passionate and driven Senior Content Executive to join their team. As the Senior Content Executive, you will play a pivotal role in delivering engaging and innovative content across the website. Your primary focus is to enhance the digital customer experience, supporting business goals through effective content marketing and lead generation.

Salary, benefits, and perks:

Salary £36k-£39k Monday to Friday
Private medical insurance for you and your family
Monday to Friday - 35 hour week
25 days of annual leave, with the option to buy/sell additional holiday
Very competitive company pension
Vibrant and friendly working atmosphere
Paid comprehensive training courses
Discounts across company products and services
Free parking on-site
Savings on fuel
Eye care voucher scheme
Modern office facilities
East Grinstead, with Hybrid working pattern (1/2 days in the office, and the rest WFH)

Key duties:

Assist the Digital Manager in governing content platforms, including the CMS and Content Planner Tool, implementing the content strategy across all website channels
Utilise in-depth knowledge gained through research, analysis, and tools like Google Analytics and Content Square to inform decisions about website content, CRO, and overall content strategy
Collaborate with the SEO agency and Digital Marketing Manager to deliver best practice copy, technical and on-page optimisation with a focus on increasing organic traffic
Work closely with third-party agencies to ensure digital presence is fully optimised and always up to date, maximising the use of tools/assets
Liaise with Product Owners and Marketing Managers to ensure product and service content is relevant, accurate, and effectively promotes benefits
Oversee and maintain website content to ensure it aligns with the content plan, campaigns, digital best practices, brand guidelines, and the SEO strategy. Ensure content is optimised for lead generation
Be an ambassador for web content marketing, proactively leading content initiatives across the business. Support the planning and execution of the content plan
Plan, research, create, proofread, publish, and measure the performance of content, producing high-quality, compelling content aligned with target markets and business goals
Ensure timely delivery of website content from planning through publication
Own, update, and maintain the content team's work schedule, sharing it with the Digital Marketing manager, including project time frames and delivery dates
Use qualitative and quantitative data to drive engagement and web conversions
Work with the Digital team to be responsible for testing website development releases

Essential skills & experience:

Educated to degree level in Marketing or English, or similar area of study or previous work experience in a related field
Copywriting experience is a must
Positive, can-do attitude with the ability to deliver to tight time frames
Excellent time management skills
Leadership skills to guide the digital content team and meet all deadlines
Experience in the digital publishing environment, creating, editing, and publishing content is advantageous
Experience in InDesign and Photoshop is advantageous
Ability to participate and contribute as a team player while working independently
Effective communication across departments and stakeholdersSalary £36k-£39k

Refer a friend and earn up to £500! If you know someone searching for a new opportunity, recommend Lloyd Recruitment Services, and receive a retail voucher of your choice up to the value of £500. Full details can be found on our website.

Unfortunately, due to high numbers of applications, we are only able to respond to shortlisted applicants. If you have not heard from us within 5 days, please assume that you have not been shortlisted on this occasion.

By applying for this vacancy, you accept Lloyd Recruitment Services Privacy and GDPR Policy which can be found on our website and therefore gives us consent to contact you.

Lloyd Recruitment Services are acting as a recruitment agency in relation to this vacancy and are an equal opportunities employer

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.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.