Change Manager, Hybrid, Maidstone, Kent. 60k

Maidstone
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Lead Data Engineer

Data Engineer

Data Engineer

Data Engineer

Systems Design Manager/ Change Manager required near Maidstone in Kent paying upto 60k + Discretionary performance linked Annual Bonus to lead the IT Change Management team consisting of Business and Test Analysts, it is a Hybrid role, 4 days in the office after probation. Along with strong demonstrable Change Management experience they require knowledge is Azure DevOps of Click Up and SQL with an understanding of C# and Classic ASP would be beneficial.

Near Maidstone, Kent | Up to £60k + Annual Performance Bonus | Hybrid - 4 Days in Office After Probation

Are you a strategic thinker with a passion for change management and system design?

Join a successful, fast-growing company near Maidstone as Systems Design Manager, where you'll lead a dynamic IT Change Management team focused on aligning bespoke systems with evolving business needs. This is your chance to make a real impact - managing critical system change projects from design through to beta testing while mentoring Business and Test Analysts.

This hybrid role offers flexibility, autonomy, and the opportunity to play a key part in shaping business-critical systems and processes.

Your Mission

Own the system roadmap - plan improvements and keep pace with strategic goals

Manage and deliver change projects from concept to implementation

Lead and mentor a team of Business and Test Analysts, setting clear goals and fostering collaboration

Drive process improvement, documentation, and risk mitigation

Translate business requirements into technical design documents and clear project artefacts

Collaborate with senior stakeholders across departments to ensure system enhancements align with business priorities

Champion change control, managing the full lifecycle from idea to implementation

Conduct out-of-hours testing once per week

What You'll Be Doing

Create documentation such as Project Roadmaps, Technical Design Specs, Use Case Diagrams, ERDs, Test Scripts & User Guides

Facilitate workshops to elicit requirements and align stakeholders

Support continuous improvement using Agile, Waterfall, or Kanban methodologies

Communicate clearly and confidently across all levels of the business

Ensure technical designs and solutions are robust, scalable, and user-focused

What You'll Bring

Essential Experience & Skills:

Strong background in Change Management and systems/process design

Demonstrable experience managing end-to-end software development lifecycle

Proven leadership and team management skills

Comfortable using tools like Azure DevOps, ClickUp, SQL, and Microsoft Office (Word, Excel, Visio, PowerPoint)

Stakeholder engagement and facilitation skills

Experience creating technical specifications and user stories

Understanding of Agile, Waterfall, or Kanban methods

Desirable Know-How:

Knowledge of C#, Classic ASP, or Java

Familiarity with software testing and QA processes

The Ideal Candidate Will Be...

Highly analytical and detail-oriented

A confident communicator with a plain-English approach

Adaptable, with a resilient mindset and strong problem-solving skills

Organised, with the ability to juggle multiple projects and shifting priorities

A supportive leader, committed to team development and collaboration

Results-driven, tracking KPIs and proactively managing risks

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.

Careers

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

Jobs

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.

Education

The Skills Gap in Data Engineering Jobs: What Universities Aren’t Teaching

Data engineering has quietly become one of the most critical roles in the modern technology stack. While data science and AI often receive the spotlight, data engineers are the professionals who design, build and maintain the systems that make data usable at scale. Across the UK, demand for data engineers continues to rise. Organisations in finance, retail, healthcare, government, media and technology all report difficulty hiring candidates with the right skills. Salaries remain strong, and experienced professionals are in short supply. Yet despite this demand, many graduates with degrees in computer science, data science or related disciplines struggle to secure data engineering roles. The reason is not academic ability. It is a persistent skills gap between university education and real-world data engineering work. This article explores that gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data engineering.

🍪 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.