Remote-Ready Enterprise AI & Systems Architect

Remote-Ready Enterprise AI & Systems Architect

Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
Atlassian

At a Glance

  • Tasks: Lead cross-functional workflow transformation and drive AI adoption across business functions.
  • Company: Join Atlassian, a leader in business transformation and innovation.
  • Benefits: Enjoy health resources, paid volunteer days, and a supportive work environment.
  • Other info: Remote-ready role with opportunities for mentorship and professional growth.
  • Why this job: Make a real impact by designing systems that transform businesses with cutting-edge AI.
  • Qualifications: Experience with Fortune 1000 clients and knowledge of the Atlassian ecosystem required.

The predicted salary is between 70000 - 90000 £ per year.

Atlassian is looking for a Business Transformation expert in the United Kingdom to design and deliver end-to-end systems of work across various business functions. This role involves leading cross-functional workflow transformation, driving AI adoption, and mentoring technical architects.

The ideal candidate will have deep experience with Fortune 1000 clients and significant knowledge of the Atlassian ecosystem.

Benefits include health resources and paid volunteer days.

Remote-Ready Enterprise AI & Systems Architect employer: Atlassian

Atlassian is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals looking to make a meaningful impact in the field of Business Transformation. With a strong focus on employee growth, Atlassian offers extensive resources for health and well-being, along with unique benefits like paid volunteer days, allowing employees to contribute to their communities while advancing their careers. Located in the United Kingdom, this role provides the opportunity to work with Fortune 1000 clients and be at the forefront of AI adoption within the Atlassian ecosystem.

Atlassian

Contact Details:

Atlassian Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote-Ready Enterprise AI & Systems Architect

Get to Grips with Data Visualisation Tools

If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.

Join Local Business Intelligence Meetups

Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Atlassian!

Engage with Online BI Communities

Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.

Leverage Your University’s Career Support

If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!

We think you need these skills to ace Remote-Ready Enterprise AI & Systems Architect

Business Transformation
Cross-Functional Workflow Transformation
AI Adoption
Mentoring
Technical Architecture
Atlassian Ecosystem Knowledge
Client Management

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at Atlassian, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at Atlassian

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with Atlassian’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.