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- Tasks: Lead AI transformation initiatives and define automation strategies across the organisation.
- Company: WeAreTechWomen, a forward-thinking organisation focused on empowering women in tech.
- Benefits: Competitive salary, continuous learning opportunities, and a chance to shape AI strategies.
- Other info: Embrace a culture of continuous learning and tackle sustainability challenges.
- Why this job: Make a significant impact in AI deployment while working with senior stakeholders.
- Qualifications: STEM degree and strong experience in AI strategies required.
The predicted salary is between 70000 - 90000 £ per year.
WeAreTechWomen is looking for an AI and Data Strategist - Infrastructure to deliver enterprise-wide AI transformation initiatives. This strategic role involves defining AI and automation strategies, assessing organisational maturity, and leading workshops with senior stakeholders.
Required qualifications include a STEM degree and strong experience in AI strategies. Preferred criteria involve familiarity with consultancy methods and sustainability challenges. The position promotes a continuous learning mindset to stay ahead in AI deployment.
Infrastructure AI & Data Strategy Lead employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Infrastructure AI & Data Strategy Lead
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and data strategy space on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of AI transformation initiatives. Be ready to discuss how you've defined strategies in the past and how you can assess organisational maturity effectively.
✨Tip Number 3
Showcase your continuous learning mindset! Share any recent courses or certifications related to AI and automation that you've completed. This will demonstrate your commitment to staying ahead in the field.
✨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 Infrastructure AI & Data Strategy Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI and Data Strategist role. Highlight your STEM background and any relevant projects or roles that showcase your expertise in AI strategies.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI transformation initiatives. Share specific examples of how you've led similar projects or workshops, and don’t forget to mention your continuous learning mindset!
Showcase Your Consultancy Skills: If you have experience with consultancy methods, make it shine! We want to see how you've assessed organisational maturity or tackled sustainability challenges in your previous roles. This will set you apart from other candidates.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at WeAreTechWomen
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI trends and strategies. Brush up on your knowledge of enterprise-wide AI transformation initiatives, as this will be crucial for discussing how you can lead these efforts effectively.
✨Showcase Your Consultancy Skills
Since familiarity with consultancy methods is preferred, prepare examples from your past experiences where you've successfully led workshops or engaged with senior stakeholders. This will demonstrate your ability to navigate complex organisational structures.
✨Understand Sustainability Challenges
Research current sustainability challenges related to AI deployment. Be ready to discuss how you can integrate sustainable practices into AI strategies, showing that you’re not just focused on technology but also on its broader impact.
✨Emphasise Continuous Learning
This role promotes a continuous learning mindset, so be prepared to talk about how you stay updated with AI advancements. Share any courses, certifications, or projects that reflect your commitment to ongoing professional development.