At a Glance
- Tasks: Lead the data and AI strategy, ensuring governance and quality across the organisation.
- Company: Established organisation focused on building a robust data capability.
- Benefits: Competitive package and benefits, with a strong leadership team supporting you.
- Other info: Opportunity to build something modern and innovative from the ground up.
- Why this job: Shape the future of data and AI while making a real impact at the executive level.
- Qualifications: Extensive experience in data and AI, with proven leadership in enterprise-scale platforms.
The predicted salary is between 90000 - 110000 £ per year.
We're working with an established organisation building out its data capability to find a Director of Data & AI who will own the strategy, architecture and governance of the data estate. This is a Director of Data & AI role for a senior leader who can set the direction and the guardrails, then trust strong leads to deliver within them. You'll be the senior voice of data and AI to the executive, turning business ambition into a clear roadmap and translating technical reality back into decisions the business can act on.
You'll balance keeping the existing estate running with building something modern and well governed. You set direction; your leads own execution.
Responsibilities as a Director of Data & AI:
- Define and own the multi-year data and AI strategy, roadmap and business case
- Set the direction for the data platform and hold it to strong engineering and cost-control standards
- Own data governance end to end: quality, access, privacy and the regulatory posture
- Establish a trusted single source of truth and drive consistency across the business
- Enable data science and ML teams with governed data and a clear path to production
- Lead and grow the data capability, managing a team of senior technical leads
Requirements:
- Substantial experience in data and AI roles, including several years in senior leadership
- Proven track record building and governing an enterprise-scale data platform
- Deep expertise in modern cloud data platform and architecture patterns
- Strong experience with data governance tooling and practice
- Solid grasp of the ML and AI lifecycle and of data modelling
- A credible player-coach Director of Data & AI who earns the respect of technical teams and communicates clearly with executives
- A director-level mandate to shape the data and AI strategy from the front
- Genuine scope to build something modern rather than inherit someone else's
- A seat at the executive table as the senior voice of data and AI
- A strong leadership team around you, with capable leads owning delivery
- Competitive package and benefits (to confirm with the client)
If you're a Director of Data & AI who wants real ownership of both the strategy and the platform, this is worth a conversation. Bring the technical credibility and the commercial instinct, and you'll set the direction for how an entire organisation uses its data.
**Due to the high volume of applications, not all applicants will receive feedback.
Director of Data Services employer: Formula.
Formula. is an exceptional employer that fosters a dynamic and collaborative work culture in the heart of London. With a focus on employee growth, we offer opportunities to lead innovative marketing technology projects while working alongside talented professionals in a hybrid environment. Our commitment to agility and excellence ensures that you will thrive in your role as a Marketing Tech Lead, making a meaningful impact on global campaigns.
StudySmarter Expert Advice🤫
We think this is how you could land Director of Data Services
✨Get Involved in Data Science Meetups
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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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Formula.. 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 Formula.
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Formula.!
✨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.
