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For Companies At a Glance
- Tasks: Lead the creation of data models and PowerBI reporting while driving AI insights.
- Company: Join a forward-thinking IT/Finance team focused on innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by optimising systems and championing AI-driven solutions.
- Qualifications: Experience in PowerBI, data governance, and strong analytical skills required.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
The predicted salary is between 48000 - 72000 £ per year.
Job Description
- Define, develop and maintain semantic data models to support Power BI reporting and CoPilot for Power BI insights.
- Ensure all models are well-governed and serve as a single source of truth for the organisation.
- Lead the design and delivery of Power BI dashboards, reports and data connections.
- Collaborate with internal and external stakeholders to strengthen data governance frameworks and ensure compliance.
- Partner with a third-party consultancy for Microsoft Fabric expertise, architecture and governance guidance.
- Design and deploy CoPilot agents that deliver tangible business benefits.
- Act as the technical mentor for Power BI and CoPilot users across the business, promoting best practice and adoption.
- Analyse business systems to identify opportunities for optimisation using AI and automation.
- Recommend and implement enhancements or new solutions to support business growth.
About YouYou’ll be an experienced data professional with a passion for building scalable, intelligent reporting environments. You combine strong technical skills with the ability to engage stakeholders, simplify complexity and drive change.Skills & Experience Required
- Proven background in Power BI development and semantic modelling.
- Strong understanding of data governance, DAX and Power Query.
- Experience working with SQL and relational databases.
- Familiarity with Microsoft CoPilot for Power BI and CoPilot agent development.
- Excellent communication skills, able to mentor technical and non-technical users.
- Experience in system analysis and using AI tools to enhance business processes.
- Knowledge of ERP systems and related data structures is advantageous.
Key Attributes
- Self-motivated and proactive with a continuous improvement mindset.
- Strong analytical and problem-solving skills.
- Excellent stakeholder management and influencing abilities.
- Comfortable translating complex requirements into practical, high-impact solutions.
The Details
- Location: Milton Keynes (Hybrid – typically 2 days a week on site)
- Travel: Occasional travel to other UK sites
- Salary: Competitive + benefits
Data AI Solutions Lead employer: Pure Resourcing Solutions
Contact Detail:
Pure Resourcing Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data AI Solutions Lead
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data AI Solutions Lead role.
✨Tip Number 2
Prepare for those interviews by practising common questions related to PowerBI and data governance. We suggest doing mock interviews with friends or using online platforms to get comfortable talking about your experience and skills.
✨Tip Number 3
Showcase your expertise! Create a portfolio of your PowerBI dashboards and semantic models. We want to see your work, so make sure to highlight projects that demonstrate your ability to drive insights and optimise systems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and take the initiative to connect directly with us.
We think you need these skills to ace Data AI Solutions Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data AI Solutions Lead. Highlight your experience with PowerBI, semantic modelling, and any relevant AI tools. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data governance and AI-driven insights. Share specific examples of how you've driven system optimisation in the past – we love a good story!
Showcase Your Collaboration Skills: Since this role involves working with various stakeholders, make sure to highlight your teamwork abilities. Mention any experiences where you’ve successfully collaborated with both technical and non-technical teams to achieve a common goal.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Pure Resourcing Solutions
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of PowerBI, semantic data models, and DAX. Be ready to discuss how you've used these tools in past projects, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Collaboration Skills
This role involves working with various stakeholders, so be prepared to share examples of how you've successfully collaborated in the past. Highlight your ability to engage both technical and non-technical team members to drive projects forward.
✨Demonstrate Your Problem-Solving Abilities
Think of specific instances where you've identified opportunities for improvement in data systems or processes. Be ready to explain your thought process and the impact of your solutions, especially if they involved AI or automation.
✨Prepare Questions About Governance and Compliance
Since data governance is a key responsibility, come equipped with insightful questions about their current practices. This shows your understanding of the importance of compliance and your proactive approach to ensuring robust data management.
