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- Tasks: Lead and scale analytics capabilities, turning data into impactful insights.
- Company: Join a forward-thinking company at the forefront of data and AI innovation.
- Benefits: Competitive salary, leadership opportunities, and a chance to shape the future of analytics.
- Why this job: Make a real impact by driving analytics and AI in decision-making processes.
- Qualifications: Proven experience in analytics leadership and advanced data techniques.
- Other info: Collaborative environment with opportunities for professional growth and innovation.
The predicted salary is between 72000 - 108000 £ per year.
We’re looking for a strategic, hands-on Director of Analytics & AI to lead and scale our analytics capability at the intersection of data, product, and AI. This is a pivotal leadership role where you’ll turn complex data into insight, influence product and commercial decisions, and help shape how advanced analytics and AI are embedded across the business. You’ll lead a high performing team, define analytics strategy, and partner closely with Data & Engineering, and senior leadership to drive measurable impact.
What you’ll do
- Define and own the enterprise analytics strategy across business, product, and customer domains.
- Lead, mentor, and grow a high performing team of analysts, analytics managers and data scientists.
- Establish best practices for analytics delivery, experimentation, and insight generation.
- Act as a trusted advisor to senior leadership, translating data into strategic decisions.
- Product & Data Analytics
- Drive deep product analytics, including user behaviour, funnels, experimentation, and feature performance.
- Partner with Product and Engineering teams to embed analytics into the product lifecycle.
- Leverage large scale, complex datasets to uncover trends and opportunities.
- Champion a data driven product culture supported by clear metrics and dashboards.
- Lead the use of advanced analytics, machine learning, and AI to solve business and product problems.
- Identify opportunities to apply predictive modelling, segmentation, and AI driven insights.
- Partner with Software & Data Engineering teams to productionise models and insights.
- Stay ahead of emerging analytics and AI trends, driving innovation across the organisation.
- Ensure analytics outputs are built on trusted, high quality, well governed data.
- Define KPIs, success metrics, and analytics frameworks that scale with the business.
- Promote self-service analytics while maintaining consistency and reliability.
- Work cross functionally with Product, Commercial, Marketing, Risk, and Technology teams.
- Present clear, compelling insights to executive stakeholders and the board.
- Prioritise analytics initiatives based on business value and strategic impact.
What we’re looking for
- Significant experience in senior analytics leadership roles within data-driven organisations.
- Strong background in analytics, data science, and product analytics.
- Proven experience applying advanced analytics, machine learning, or AI to real world business problems.
- Deep understanding of analytics tooling, data platforms, and modern data stacks.
- Strong commercial mindset with the ability to link analytics to outcomes and ROI.
- Excellent leadership and people-management skills, with experience building high performing teams.
- Exceptional communication skills, able to influence and engage at executive level.
Why this role
This is an opportunity to shape how analytics and AI drive decision-making at scale influencing product direction, accelerating innovation, and building an analytics capability that delivers real competitive advantage.
Director of Analytics & AI employer: Reward
Contact Detail:
Reward Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of Analytics & AI
✨Tip Number 1
Network like a pro! Reach out to connections in the analytics and AI space. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your past projects, especially those involving advanced analytics and AI. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your data storytelling skills. Be ready to explain complex analytics concepts in simple terms. Remember, it’s all about translating data into strategic decisions that resonate with stakeholders.
✨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 Director of Analytics & AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Director of Analytics & AI. Highlight your experience in analytics leadership, data science, and any relevant projects that showcase your ability to drive insights and influence decisions.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about analytics and AI, and how your background aligns with our mission at StudySmarter. Be specific about how you can contribute to our team.
Showcase Your Leadership Skills: We want to see your leadership style! Share examples of how you've built and mentored high-performing teams in the past. Highlight your ability to translate complex data into strategic decisions for senior stakeholders.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Reward
✨Know Your Analytics Inside Out
Make sure you’re well-versed in the latest analytics tools and methodologies. Brush up on your knowledge of machine learning and AI applications, as you'll need to demonstrate how these can solve real-world business problems during the interview.
✨Showcase Leadership Experience
Prepare examples that highlight your leadership skills and experience in building high-performing teams. Be ready to discuss how you've mentored analysts and data scientists, and how you’ve driven a data-driven culture in previous roles.
✨Connect Data to Business Outcomes
Be prepared to explain how your analytics strategies have directly influenced product decisions and commercial success. Use specific metrics or KPIs from your past experiences to illustrate your impact and understanding of ROI.
✨Engage with Stakeholders
Think about how you’ve worked cross-functionally with different teams. Prepare to discuss how you’ve presented insights to executive stakeholders and how you prioritised analytics initiatives based on business value. This will show your ability to communicate effectively at all levels.
