At a Glance
- Tasks: Lead the design and delivery of innovative data and AI solutions across enterprise applications.
- Company: Join a forward-thinking tech company in Leeds with a hybrid work culture.
- Benefits: Enjoy flexible working hours, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities in a collaborative environment.
- Why this job: Make a significant impact by shaping technology strategies and influencing stakeholders at scale.
- Qualifications: Proven experience in cloud-based data analytics and AI, with strong leadership skills.
The predicted salary is between 70000 - 90000 £ per year.
As a Team Lead Solution Architect, you’ll play a pivotal role in defining and delivering technology strategies and roadmaps across enterprise applications and operational support services. This is a senior individual contributor role which will require team management responsibilities and offers the opportunity to influence at scale and work across a wide range of stakeholders and technologies.
Location: Leeds - Hybrid (2/3 days per week on-site) - Flex working hours
Key skills and experience:
- Deep domain expertise and demonstrable experience with cloud-based services for data analytics and AI on the Microsoft Cloud (e.g. Azure ML, AI Foundry, Azure Databricks)
- Experience shaping proof of concepts and evolving designs to productionised solutions with appropriate AI governance incorporating MLOps and LLMOps to manage risk and auditability
- Experience in IT architecture, including applying architectural principles to solution design with a strong focus on designing modern data analytics platforms and AI solutions.
- Strong understanding of the data, analytics and AI technology landscape, including the ability to assess existing estates and develop roadmaps focused on reuse, simplification, and rationalisation.
- Proven ability to translate business strategies, goals, and requirements into coherent architecture designs, solution blueprints, target architectures and technology roadmaps for data analytics.
- Experience shaping enterprise architecture artefacts such as blueprints, technical options, design patterns, high‑level designs, for complex data platforms and analytics use cases.
- Strong stakeholder engagement skills, including the ability to build and maintain stakeholder maps and communicate architectural outputs effectively.
- Experience leading a team of architects, focusing on their personal development and training, and supporting them with their own workload.
- Experience representing architecture at governance forums and advocating for strategic solutions.
- Experience in IT leadership and management, including the development of highly skilled and engaged teams.
- Understanding of best practice across the data lifecycle, including data governance, quality, security, and responsible use of data and AI.
It would also be beneficial, but not necessary, to have some of the following:
- Experience working with architectural methodologies and frameworks (e.g. TOGAF, Zachman) and experience in architecture modelling tools
- Enterprise Architecture skills such as technical reference model development, building block design, applications and role design, systems integration, and evaluation of architectures.
- Broader expertise of technologies and applications relevant to the Bank’s enterprise applications (e.g. Cloud, Azure, Databricks, data life cycle management, medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise scale analytics)
Lead Solution Architect - Data & AI Specialist - Leeds - Hybrid employer: W Talent
As a Lead Solution Architect at our Leeds location, you will thrive in a dynamic and inclusive work culture that prioritises innovation and collaboration. We offer flexible working arrangements, competitive benefits, and ample opportunities for professional growth, ensuring that you can develop your skills while making a significant impact across diverse projects. Join us to be part of a forward-thinking team that values your expertise and fosters a supportive environment for career advancement.
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We think this is how you could land Lead Solution Architect - Data & AI Specialist - Leeds - Hybrid
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We think you need these skills to ace Lead Solution Architect - Data & AI Specialist - Leeds - Hybrid
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!
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Craft a Tailored Cover Letter:For a full-time role at W Talent, 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 W Talent. 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 W Talent
✨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!
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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
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✨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.
