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For Companies At a Glance
- Tasks: Lead AI and data transformation, develop strategies, and deliver hands-on solutions.
- Company: Dynamic IT services firm focused on innovation and data-driven decision-making.
- Benefits: Competitive daily rate, flexible working, and opportunity to shape AI strategy.
- Why this job: Be at the forefront of AI innovation and drive real change in a growing organisation.
- Qualifications: Proven experience in AI/data roles and strong Power BI skills required.
- Other info: Join a collaborative team with opportunities for professional growth and impact.
The predicted salary is between 79200 - 110880 £ per year.
Location: North West (Onsite 4 days a week)
Rate: £1100 a day (6 Months - Outside IR35)
About the Role
We are seeking a highly skilled AI & Data Lead to spearhead our transformation into a truly data-driven organisation. This individual will define our AI and analytics strategy, elevate our Power BI capabilities into advanced AI-powered insights, and deliver hands-on development across data platforms, models, and solutions. This is a hybrid role combining strategic leadership, consultancy, solution architecture, and hands-on technical execution. You will guide the business on how to maximise value from data, introduce AI opportunities, establish governance, and embed data-driven decision-making across teams.
Responsibilities
- Strategic Leadership & Planning:
- Develop and own the company’s AI, analytics, and data strategy.
- Create a roadmap for moving from traditional BI to a modern, AI-augmented data ecosystem.
- Identify opportunities where AI, ML, and automation can drive measurable value.
- Act as a trusted advisor to senior leaders and departments regarding data, BI, and AI.
- Translate complex data and AI concepts into clear business language and use cases.
- Facilitate workshops, run discovery sessions, and guide teams on AI best practices.
- Build prototypes and production-level AI/ML solutions, such as predictive models, natural language interfaces, and automation workflows.
- Develop robust data models, pipelines, and integrations to ensure scalable AI adoption.
- Establish data governance standards, security controls, and compliance practices.
- Own data quality frameworks to ensure trusted reporting and model reliability.
- Lead end-to-end delivery of AI/data projects from ideation through deployment.
Skills & Experience
- Proven experience in a senior data/AI/analytics role (e.g., Data Lead, Analytics Lead, AI Specialist, BI Lead).
- Strong background with Power BI, including DAX, modelling, governance, and enterprise deployments.
- Hands-on experience building AI and machine learning solutions using modern cloud tools (Azure preferred).
- Strong understanding of data engineering concepts (ETL/ELT, pipelines, warehousing).
- Ability to translate business challenges into technical AI/analytics solutions.
- Excellent stakeholder engagement and communication skills.
- Strategic thinker capable of setting direction and driving organisational change.
If you have experience in delivering an AI strategy and have previously helped to modernise a business, please don’t hesitate to apply.
Seniority level: Mid-Senior level
Employment type: Contract
Job function: Information Technology
Industries: IT Services and IT Consulting
AI & Data Lead in Nottingham employer: Dynamic Search Solutions
Contact Detail:
Dynamic Search Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI & Data Lead in Nottingham
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local events. The more you engage with others, the better your chances of hearing about opportunities that might not be advertised.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your AI and data projects. Whether it's a GitHub repo or a personal website, let your work speak for itself.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to AI and data. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving skills.
✨Apply Through Us!
We’ve got your back! Apply for the AI & Data Lead position through our website. It’s a great way to ensure your application gets noticed, and we’re here to support you every step of the way.
We think you need these skills to ace AI & Data Lead in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the AI & Data Lead role. Highlight your experience with Power BI, AI strategies, and any hands-on projects you've led. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of how you've driven data transformation in previous roles. We love a good story!
Showcase Your Technical Skills: Don’t shy away from listing your technical skills, especially around AI, ML, and data engineering. We’re keen on seeing your hands-on experience, so mention any relevant tools or platforms you’ve worked with, particularly Azure.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're serious about joining our team!
How to prepare for a job interview at Dynamic Search Solutions
✨Know Your AI & Data Stuff
Make sure you brush up on the latest trends in AI and data analytics. Be ready to discuss your experience with Power BI, DAX, and any hands-on projects you've led. The more specific examples you can provide, the better!
✨Showcase Your Strategic Thinking
Prepare to talk about how you've developed and implemented data strategies in the past. Think of concrete examples where you identified opportunities for AI and ML to drive value. This role is all about strategic leadership, so highlight your ability to set direction.
✨Communicate Clearly
You’ll need to translate complex data concepts into business language. Practice explaining your previous projects in a way that’s easy to understand for non-technical stakeholders. This will show that you can bridge the gap between tech and business.
✨Engage with Real Scenarios
Be prepared to discuss how you would approach specific challenges the company might face. Think about potential AI opportunities they could explore and how you would facilitate workshops or discovery sessions to guide teams on best practices.
