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- Tasks: Lead the data automation team and manage project delivery with cross-functional collaboration.
- Company: Dynamic data and research company based in London.
- Benefits: Enhanced leave, wellness days, and hybrid working conditions.
- Why this job: Make a real impact by driving automation and optimising workflows.
- Qualifications: Experience in automation practices and a solid understanding of data processes.
- Other info: Join a motivated team in a vibrant workplace with great career potential.
The predicted salary is between 43200 - 72000 £ per year.
A data and research company in London is seeking an experienced individual to lead their data automation team. This role involves managing project delivery, collaborating with cross-functional teams, and defining clear workflow requirements. Ideal candidates will possess a solid understanding of automation practices and data processes.
The organization offers numerous benefits such as enhanced leave, wellness days, and hybrid working conditions, making it an attractive workplace for motivated professionals.
Automation & AI Product Owner — Data & Workflows employer: With Intelligence
Contact Detail:
With Intelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Automation & AI Product Owner — Data & Workflows
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in automation and AI. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Showcase your skills! Create a portfolio or a project that highlights your experience with data automation and workflows. This hands-on evidence can really set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on common questions related to project delivery and cross-functional collaboration. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Automation & AI Product Owner — Data & Workflows
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Automation & AI Product Owner role. Highlight your understanding of automation practices and data processes to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about leading a data automation team and how your experience makes you the perfect fit for us.
Showcase Your Project Management Skills: Since this role involves managing project delivery, be sure to include examples of your past projects. We want to see how you've collaborated with cross-functional teams and defined workflow requirements.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at With Intelligence
✨Know Your Automation Inside Out
Make sure you brush up on your knowledge of automation practices and data processes. Be ready to discuss specific tools and methodologies you've used in past projects, as this will show your expertise and confidence in the field.
✨Showcase Your Project Management Skills
Prepare examples of how you've successfully managed project delivery in previous roles. Highlight your ability to collaborate with cross-functional teams and how you defined clear workflow requirements to achieve project goals.
✨Understand the Company Culture
Research the company’s values and work environment. Since they offer hybrid working conditions and wellness days, think about how you can contribute to a positive workplace culture and be prepared to discuss this during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their current projects, challenges they face in automation, or how they measure success in the data automation team. This shows you're engaged and serious about the position.
