Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data strategy and build a high-performing analytics team in a greenfield environment.
- Company: Global Food & Beverage organisation with a focus on innovation and growth.
- Benefits: Competitive salary, leadership role, and significant autonomy in decision-making.
- Why this job: Shape the future of analytics and AI in a dynamic industry with real impact.
- Qualifications: Proven experience in analytics leadership, strong skills in Python and SQL.
- Other info: Exceptional opportunity for career growth and influence within the organisation.
The predicted salary is between 43200 - 72000 £ per year.
A global Food & Beverage organization is seeking a Head of Data Analytics & AI to lead and shape the data strategy within a greenfield environment. This role involves defining the vision for analytics and AI, building a high-performing team, and collaborating with senior stakeholders to foster data-led decision-making across the organization.
The ideal candidate has proven experience in leading analytics functions, strong technical skills in Python and SQL, and is an effective communicator. This is an exceptional opportunity for an influential leadership position with substantial backing and autonomy.
Head of Data Analytics & AI — Strategy, Growth & Impact employer: TRIA
Contact Detail:
TRIA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Analytics & AI — Strategy, Growth & Impact
✨Tip Number 1
Network like a pro! Reach out to industry contacts on LinkedIn or attend relevant events. We can’t stress enough how important it is to make connections that could lead to opportunities.
✨Tip Number 2
Showcase your skills! Create a portfolio or a personal website where you can display your projects, especially those involving Python and SQL. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to data strategy and leadership. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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 Head of Data Analytics & AI — Strategy, Growth & Impact
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Head of Data Analytics & AI role. Highlight your leadership experience, technical skills in Python and SQL, and any relevant achievements in data strategy.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share your vision for analytics and AI, and how you plan to build a high-performing team. Be authentic and let your personality shine through!
Showcase Your Communication Skills: As an effective communicator, it's crucial to demonstrate this in your application. Use clear and concise language, and make sure to articulate your thoughts well. This will show us that you can collaborate with senior stakeholders effectively.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application is seen by the right people and gives you the best chance to stand out. Plus, it’s super easy to do!
How to prepare for a job interview at TRIA
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data analytics and AI. Brush up on your Python and SQL skills, and be ready to discuss how you've applied them in previous roles. This will show that you’re not just a leader but also technically savvy.
✨Craft Your Vision
Prepare to articulate your vision for the data strategy in a greenfield environment. Think about how you would approach building a high-performing team and fostering a data-led culture. Having a clear plan will demonstrate your strategic thinking and leadership capabilities.
✨Engage with Stakeholders
Since collaboration with senior stakeholders is key, think of examples where you’ve successfully influenced decision-making through data insights. Be ready to discuss how you would engage with different departments to ensure alignment and buy-in for your data initiatives.
✨Showcase Your Communication Skills
As an effective communicator, practice explaining complex data concepts in simple terms. Prepare to share instances where your communication skills have made a difference in your previous roles. This will highlight your ability to bridge the gap between technical teams and business leaders.
