Principal UX Designer

Ocho
Belfast
1 year ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist and Machine Learning Researcher

Principal Data Scientist

Principal Data Scientist

Principal Machine Learning Scientist - Applied Research (UK Remote)

Principal Data Scientist - Healthcare

Principal Data Scientist I - Agentic Systems

My client are a new entrant to the NI tech scene. A cutting-edge Data and Analytics SaaS start-up revolutionising higher education marketing, enrolment, and forecasting through advanced AI, machine learning, generative AI and statistical methodologies. This tailored subscription package targets potential student demographics, penetrate new markets, benchmark against peers, forecast program demand, and craft personalised communication strategies. The end result will allow analytics to optimise financial aid, streamline admissions, and enhance institutional efficiency with real-time adaptability.


My client will strive to provide educational institutions with reliable, actionable insights to maintain their competitive edge in a dynamic educational landscape.


Position Overview:

As the Principal UX Designer, you will lead the design and user experience strategy for the advanced analytics SaaS platform. You will work closely with a cross-functional team of product managers, engineers, data scientists, and other stakeholders to create intuitive, engaging, and impactful user experiences. This role is ideal for a visionary designer who is passionate about user-centred design and eager to shape the future of the products.

Key Responsibilities:

  • UX Strategy:Develop and drive the overall UX vision and strategy, ensuring alignment with business objectives and user needs.
  • Design Leadership:Lead the UX design process from concept to execution, including research, wire-framing, prototyping, and user testing.
  • User Research:Conduct user research and usability testing to gather insights and validate design decisions, ensuring a deep understanding of our users’ needs and behaviours.
  • Collaboration:Partner with Engineers, Data scientists, Product Managers and other stakeholders to integrate user experience design into the product development process.
  • UI/UX Design:Create high-quality, visually appealing, and functional designs that enhance the overall user experience.
  • Design Systems:Establish and maintain design systems, guidelines, and best practices to ensure consistency and scalability across our products.
  • Innovation:Stay current with industry trends, emerging technologies, and best practices to drive continuous innovation in our UX design approach.
  • Mentor Team Members:Mentor and guide less experienced designers, promoting an open and collaborative culture.
  • Stakeholder Communication:Present design concepts and rationale to stakeholders, incorporating feedback and iterating on designs to achieve the best outcomes.

Qualifications:

  • Education:Bachelor’s or Master’s degree in Design, Human-Computer Interaction, or a related field.
  • Experience:Minimum of 7 years of experience in UX design, with a proven track record of leading design projects and delivering exceptional user experiences in a SaaS or technology company.
  • Technical Expertise:
  • Expertise in design and prototyping tools such as Sketch, Figma, Adobe XD, or similar.
  • Strong understanding of user-centred design principles and methodologies.
  • Experience with responsive and mobile-first design.
  • Knowledge of front-end development (HTML, CSS, JavaScript) is a plus.
  • Experience in Designing User Interfaces for Analytics based products involving visualisations and dashboards.
  • Soft Skills:
  • Exceptional problem-solving abilities and attention to detail.
  • Excellent communication and presentation skills.
  • Strong leadership and project management capabilities.
  • Ability to work independently and as part of a team in a fast-paced, agile start-up environment.

Benefits:

  • Competitive salary based on experience
  • Health insurance
  • Company Pension
  • Discretionary Annual Bonus
  • 25 days holiday plus bank holidays.
  • Hybrid working environment
  • Fun, inclusive, and innovative company culture with regular team events.


To find out more about this role please send your CV in via the link below or reach out to Ryan Quinn directly on LinkedIN.


My client is proud to be an equal opportunity employer, celebrating diversity , and are committed to creating an inclusive environment for all employees.

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.