At a Glance
- Tasks: Define data architecture and governance for ERP and PLM systems in an innovative environment.
- Company: Join a cutting-edge AI and robotics startup in Greater London.
- Benefits: Enjoy a competitive salary, stock options, and a vibrant startup culture.
- Why this job: Shape the future of AI with your expertise in data architecture and integration.
- Qualifications: Strong experience in ERP data landscapes and collaborative architecture skills.
- Other info: Be part of a dynamic team with exciting growth opportunities.
The predicted salary is between 43200 - 72000 Β£ per year.
An AI and robotics company in Greater London seeks a Data & Integrations Architect to define data architecture and governance across ERP and PLM systems. The role prioritises integration patterns and ensures data structures support operational needs and future AI use cases.
Candidates should have strong experience in ERP data landscapes and a collaborative approach to architecture.
Competitive salary, stock options, and work within a startup culture are offered.
AI-Ready ERP & PLM Data Architect employer: Humanoid
Contact Detail:
Humanoid Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land AI-Ready ERP & PLM Data Architect
β¨Tip Number 1
Network like a pro! Reach out to folks in the AI and robotics space, especially those who work with ERP and PLM systems. A friendly chat can open doors that a CV just can't.
β¨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with data architecture and governance. This will help us see how you can tackle real-world challenges.
β¨Tip Number 3
Be ready for a chat! When you land that interview, come armed with questions about their integration patterns and future AI use cases. It shows you're genuinely interested and have done your homework.
β¨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about joining our startup culture. It makes it easier for us to connect with you!
We think you need these skills to ace AI-Ready ERP & PLM Data Architect
Some tips for your application π«‘
Show Your Data Expertise: Make sure to highlight your experience with ERP data landscapes in your application. We want to see how you've tackled data architecture challenges before, so donβt hold back on those details!
Collaborate Like a Pro: Since this role values a collaborative approach, share examples of how you've worked with teams in the past. We love seeing candidates who can communicate and integrate well with others!
Tailor Your Application: Donβt just send a generic CV! Tailor your application to reflect the specific skills and experiences that align with our job description. We appreciate when candidates take the time to connect their background to what weβre looking for.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, itβs super easy!
How to prepare for a job interview at Humanoid
β¨Know Your Data Inside Out
Make sure you have a solid understanding of ERP and PLM data landscapes. Brush up on the specific data architecture principles relevant to these systems, as well as any integration patterns that are commonly used. This will show your potential employer that you're not just familiar with the concepts but can also apply them effectively.
β¨Showcase Your Collaborative Spirit
Since the role emphasises a collaborative approach, be prepared to discuss past experiences where teamwork was key to your success. Think of examples where you worked with cross-functional teams to define data governance or architecture. This will highlight your ability to work well in a startup culture.
β¨Prepare for AI Use Cases
Given the focus on future AI applications, come ready with insights on how data architecture can support AI initiatives. Research current trends in AI and data integration, and be ready to share your thoughts on how they could be applied within the companyβs context.
β¨Ask Insightful Questions
Interviews are a two-way street, so prepare some thoughtful questions about the company's data strategy and future projects. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals and values.