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- Tasks: Shape data strategy, lead solutions, and enhance financial reconciliation processes.
- Company: Join a global IT organization focused on data excellence and innovation.
- Benefits: Collaborate with a talented team across Europe and enjoy opportunities for professional growth.
- Why this job: Revolutionize operations with AI and Neo4j while driving impactful data solutions.
- Qualifications: Proven experience in Microsoft data solutions, leadership skills, and hands-on Neo4j expertise.
- Other info: Be part of a dynamic team that values innovation and collaboration.
The predicted salary is between 48000 - 84000 £ per year.
Enterprise Data Architect is required by a global IT organisation to shape their data strategy, lead solutioning, and oversee a predominantly Microsoft-centric IT estate, delivering data excellence across the organization.
You will be responsible for:
- Implementing enhancements to financial reconciliation processes.
- Improving reporting strategies.
- Leading and managing a team of data professionals, driving innovation and collaboration across Europe and beyond.
- Fixing and enhancing the existing Databricks implementation for maximum efficiency.
- Establishing a comprehensive view of all data sources across the organization.
- Improving Power BI automation processes.
- Introducing AI-as-a-Service to revolutionize operations, integrating cutting-edge knowledge graph technologies based on Neo4j to unlock advanced insights.
Required experience:
- Proven experience in architecting and delivering Enterprise-level data solutions based on Microsoft technologies.
- A track record of fixing and optimizing complex data processes.
- Hands-on experience in data and analytics including experience in AI and knowledge graphs technology.
- Strong leadership and team management skills, with the ability to inspire high-performing teams.
- Hands-on Neo4j experience
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Enterprise Data Architect/Neo4j, AI employer: Careerwise
Contact Detail:
Careerwise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Data Architect/Neo4j, AI
✨Tip Number 1
Familiarize yourself with Microsoft technologies and data solutions, as this role heavily relies on them. Brush up on your knowledge of Databricks and Power BI, since improving these tools is a key responsibility.
✨Tip Number 2
Showcase your hands-on experience with Neo4j and AI technologies in your discussions. Be prepared to discuss specific projects where you've implemented knowledge graph technologies to drive insights.
✨Tip Number 3
Highlight your leadership skills by sharing examples of how you've successfully managed teams in the past. Emphasize your ability to inspire collaboration and innovation among data professionals.
✨Tip Number 4
Stay updated on the latest trends in data architecture and AI-as-a-Service. Being knowledgeable about current advancements will help you stand out as a candidate who can drive the organization's data strategy forward.
We think you need these skills to ace Enterprise Data Architect/Neo4j, AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft technologies and data solutions. Emphasize any hands-on experience you have with Neo4j and AI, as well as your leadership skills.
Craft a Compelling Cover Letter: In your cover letter, explain how your background aligns with the responsibilities of the Enterprise Data Architect role. Discuss specific projects where you've improved data processes or led teams to success.
Showcase Relevant Projects: Include examples of past projects that demonstrate your ability to implement enhancements in financial reconciliation processes and improve reporting strategies. Highlight your experience with Databricks and Power BI automation.
Highlight Leadership Experience: Since the role requires strong leadership skills, be sure to mention any experience you have in managing teams. Provide examples of how you've inspired collaboration and innovation within your team.
How to prepare for a job interview at Careerwise
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Microsoft technologies and Neo4j. Highlight specific projects where you architected and delivered enterprise-level data solutions, focusing on the challenges you faced and how you overcame them.
✨Demonstrate Leadership Skills
Since this role involves leading a team of data professionals, share examples of how you've inspired and managed teams in the past. Discuss your approach to fostering collaboration and driving innovation within your team.
✨Discuss Data Process Optimization
Prepare to talk about your experience in fixing and optimizing complex data processes. Provide concrete examples of how you've improved financial reconciliation processes or enhanced reporting strategies in previous roles.
✨Emphasize AI and Knowledge Graph Integration
Given the focus on AI-as-a-Service and knowledge graph technologies, be ready to explain how you've integrated these into your previous work. Discuss the impact of these technologies on data insights and operational efficiency.
