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- Tasks: As a Data and AI Strategy Consultant, you'll craft data roadmaps and strategies for clients.
- Company: Join a leading firm in professional training and coaching, focused on innovative AI solutions.
- Benefits: Enjoy flexible working arrangements and opportunities for professional growth.
- Why this job: This role offers a chance to shape the future of AI while mentoring others in the field.
- Qualifications: Experience with Snowflake and a strong background in data strategy is essential.
- Other info: Ideal for those looking to bridge high-level strategy with practical implementation.
The predicted salary is between 48000 - 72000 £ per year.
Must have experience in Snowflake, AI & data strategy and data roadmap. The candidate should have significant experience, ideally someone who can mentor and share knowledge. Proficient in handling industry-level data, formulating strategies, and creating data roadmaps. Not a hands-on engineer but an architect who can bridge high-level strategy and practical implementation. Should be capable of engaging in practical application without being overly theoretical.
Seniority level: Mid-Senior level
Employment type: Contract
Job function: Business Development and Sales
Industries: Professional Training and Coaching
Data and AI Strategy Consultant employer: ORN-AI, A Talent Management Platform
Contact Detail:
ORN-AI, A Talent Management Platform Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data and AI Strategy Consultant
✨Tip Number 1
Network with professionals in the data and AI field. Attend industry events, webinars, or meetups where you can connect with others who have experience in Snowflake and data strategy. Building relationships can lead to valuable insights and potential referrals.
✨Tip Number 2
Showcase your expertise by engaging in discussions on platforms like LinkedIn. Share articles, comment on relevant posts, and even write your own content about data roadmaps and AI strategies. This will help establish you as a thought leader in the field.
✨Tip Number 3
Consider reaching out to current or former employees of StudySmarter. They can provide insights into the company culture and what they look for in candidates. This information can be invaluable during interviews.
✨Tip Number 4
Prepare for the interview by thinking of specific examples from your past experience that demonstrate your ability to bridge high-level strategy with practical implementation. Be ready to discuss how you've mentored others and contributed to data strategy in previous roles.
We think you need these skills to ace Data and AI Strategy Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, AI, and data strategy. Use specific examples that demonstrate your ability to formulate strategies and create data roadmaps.
Craft a Compelling Cover Letter: In your cover letter, emphasise your mentoring experience and how you can bridge high-level strategy with practical implementation. Mention your ability to engage in practical applications without being overly theoretical.
Showcase Relevant Projects: Include details of past projects where you handled industry-level data and formulated successful strategies. This will help illustrate your expertise and suitability for the role.
Highlight Soft Skills: As a consultant, soft skills are crucial. Highlight your communication, leadership, and mentoring abilities, as these will be important in engaging with clients and sharing knowledge.
How to prepare for a job interview at ORN-AI, A Talent Management Platform
✨Showcase Your Strategic Thinking
As a Data and AI Strategy Consultant, it's crucial to demonstrate your ability to think strategically. Prepare examples of how you've developed data roadmaps and formulated strategies in previous roles. Highlight your experience in bridging high-level strategy with practical implementation.
✨Emphasise Mentorship Experience
Since the role requires someone who can mentor and share knowledge, be ready to discuss your past experiences in mentoring others. Share specific instances where you guided team members or contributed to their professional development, showcasing your leadership skills.
✨Familiarise Yourself with Snowflake
Given the emphasis on Snowflake in the job description, ensure you have a solid understanding of its functionalities and benefits. Be prepared to discuss how you've used Snowflake in your previous roles and how it fits into your overall data strategy.
✨Balance Theory with Practical Application
While theoretical knowledge is important, this role requires practical application. Prepare to discuss how you've applied theoretical concepts in real-world scenarios. Use case studies or examples from your experience to illustrate your ability to engage in practical applications effectively.
