At a Glance
- Tasks: Design AI solutions for content and marketing, ensuring seamless integration across teams.
- Company: Join a forward-thinking company committed to innovation and collaboration.
- Benefits: Enjoy discounts, competitive holidays, bonuses, and comprehensive wellbeing support.
- Other info: Diverse team culture with excellent training and career development opportunities.
- Why this job: Shape the future of AI in marketing and make a real impact on customer experiences.
- Qualifications: Experience in solution design and a passion for AI's transformative power.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking an AI Solutions Designer to define how AI capabilities are applied across content and marketing ecosystems at scale. The role translates prioritised use cases into solution patterns, platform capabilities, operating models, and governance approaches that enable teams to adopt AI safely, consistently, and effectively. Working across Marketing, Product, Engineering and vendors, the role ensures AI capabilities are integrated into enterprise platforms and ways of working in a scalable and reusable manner.
What You’ll do:
- Define scalable solution patterns for AI-driven content creation, insight generation, and marketing capabilities.
- Design the operating models, governance frameworks, and orchestration approaches required to embed AI into content and marketing workflows.
- Assess technology ecosystems, platforms, and vendors to identify capability gaps and define the target-state architecture.
- Translate prioritised AI use cases into platform requirements, solution designs, and delivery roadmaps.
- Enable the rollout of AI capabilities across content and marketing teams by defining reusable patterns, standards, and implementation approaches.
Who you are:
- Experienced in solution design, architecture, or capability design within complex digital, content, or marketing environments.
- Able to connect business needs, technology capabilities, and operating models into clear, scalable solutions.
- Passionate about how AI can transform content creation, marketing operations, and customer experiences.
- Comfortable working across Product, Marketing, Architecture, Engineering, and external partners to drive alignment and adoption.
- A strong communicator who can simplify complexity and create practical guidance that enables teams to scale AI confidently.
What's in it for you:
- After completing your probationary period, you’ll receive 20% colleague discount across all M&S products and many of our third‑party brands for you and a member of your household.
- Competitive holiday entitlement with the potential to buy extra holiday days.
- Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.
- A generous Defined Contribution Pension Scheme and Life Assurance.
- A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.
- Amazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing.
- Industry‑leading parental, adoption and neonatal policies, providing support and flexibility for your family.
- Access to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family.
- A charity volunteer day to support a charity or cause you’re passionate about through a dedicated day away from work.
We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together. If you feel you’d benefit from any support or reasonable adjustments during any stage of the recruitment process, please don’t hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.
AI Solution Designer employer: Marks and Spencer
Marks and Spencer is an exceptional employer that fosters a culture of innovation and collaboration, particularly within the Corporate HR technology team. Employees benefit from a supportive environment that prioritises professional growth and development, alongside competitive remuneration and benefits. Working in a dynamic location, you will have the opportunity to lead impactful projects that enhance the colleague experience throughout their journey with the company.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Designer
✨Get Involved in Data Science Meetups
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We think you need these skills to ace AI Solution Designer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Marks and Spencer, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Marks and Spencer. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Marks and Spencer
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Marks and Spencer!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
