Head of Application Development

ShortList Recruitment Limited
Manchester
1 year ago
Applications closed

Related Jobs

View all jobs

Vice President, Head of Discovery Data Science

Head of DevOps and DataOps

Head of Artificial Intelligence (AI)

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Data science programme lead

Head of Applications

£90,000

Hybrid Working (1 day/week in office)

Greater Manchester



Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below.

We’re searching for a strategic and innovative Head of Applications to join a dynamic, forward-thinking organization. Offering a competitive salary of £90,000 and a flexible hybrid working model (one day per week in the office), this role provides the opportunity to lead the technology architecture roadmap and drive business-critical solutions.


Role Overview:

In this exciting role, you'll have the unique opportunity to build your own digital team from the ground up, empowering you to shape the future of the company's technology landscape. You will drive meaningful change by leading the development and implementation of modern, scalable solutions, ensuring that the business continues to thrive both through organic growth and strategic acquisitions.


Key Responsibilities:

  • Lead the creation and execution of the architecture strategy, ensuring it's fully aligned with business objectives.
  • Recommend and select technologies that optimize performance, scalability, and maintainability of applications.
  • Drive the development of technical designs that integrate architecture patterns, data models, and system integrations.
  • Promote the use of common capabilities and centralized data across all operational units.
  • Ensure security is embedded in the application architecture, complying with industry standards.
  • Continuously assess new technologies for potential integration into the application portfolio.
  • Foster integration through cloud storage, SOA, and APIs, ensuring clear documentation and strong IP protection.
  • Establish and enforce coding standards and best practices for consistency and high-quality application development.
  • Chair the Technical Design Authority, overseeing compliance with architecture standards.
  • Lead a cross-functional team, ensuring collaboration and excellence across product, development, and data functions.
  • Oversee technology selection through formal tendering processes and vendor negotiations.
  • Advocate for the adoption of open SaaS products and low-code solutions to accelerate development.


Reporting & Relationships:

  • Work closely with senior leadership across the organization to build strong partnerships.
  • Manage external partners and third-party vendors, ensuring effective collaboration.
  • Lead a multidisciplinary team, promoting a culture of innovation, high performance, and knowledge sharing.


Key Qualifications & Experience:

  • Degree or equivalent in Computer Engineering, Data Science, Information Architecture, or related field.
  • Relevant certifications (AWS Solutions Architect, Microsoft Azure Solutions Architect, or TOGAF).
  • 2-5 years of prior experience in software or application development.


Technical Skills & Expertise:

  • Expertise in designing scalable, maintainable application architectures.
  • Proficiency in programming languages such as Java, Python, C#, or JavaScript.
  • Strong understanding of web technologies (HTML, CSS, JavaScript), databases (SQL/NoSQL), and cloud platforms (AWS, Azure, Google Cloud).
  • Hands-on experience with DevOps practices, continuous integration, and deployment pipelines.
  • Knowledge of low-code/no-code solutions and API design/consumption.
  • Experience in managing budgets, creating business cases, and leading vendor negotiations.


This is a fantastic opportunity for a forward-thinking leader with a strong development background to build a high-performing digital team, driving transformation and ensuring that the company remains at the forefront of technological innovation in a fast-growing and evolving industry.

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 AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

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

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.