At a Glance
- Tasks: Lead teams to define and implement AI, data, and analytics strategies.
- Company: Harnham, a leader in data recruitment with a focus on innovation.
- Benefits: Competitive salary up to £165,000 and flexible hybrid working.
- Other info: Collaborative culture with opportunities for professional growth.
- Why this job: Drive impactful data initiatives in a global, regulated environment.
- Qualifications: Proven leadership in data strategy and strong stakeholder management skills.
The predicted salary is between 165000 - 165000 £ per year.
Harnham is recruiting for a Senior Director, AI, Data & Analytics in London.
The role combines defining the enterprise data, analytics and AI strategy with leadership of multiple teams and close collaboration with senior stakeholders.
The position is London-based with a requirement to be in the office two days weekly, offering up to £165,000.
The role focuses on driving strategic data initiatives, governance, and data-driven decision making across a regulated, global environment.
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Hybrid Senior Director, AI, Data & Analytics employer: Harnham - Data & Analytics Recruitment
Join a leading martech company that offers a remote-first work environment, allowing you to balance your professional and personal life while contributing to innovative projects backed by Google. With a strong focus on employee growth, you'll have the opportunity to collaborate with a talented team, enhance your skills in app development, and play a crucial role in shaping the future of digital marketing analytics. Enjoy competitive salaries and benefits as you thrive in a culture that values creativity and technical excellence.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Senior Director, AI, Data & Analytics
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We think you need these skills to ace Hybrid Senior Director, AI, Data & Analytics
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Harnham - Data & Analytics Recruitment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Harnham - Data & Analytics Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
