At a Glance
- Tasks: Lead the data, analytics, and AI strategy in a dynamic global organisation.
- Company: Influential organisation in a highly regulated international sector.
- Benefits: Competitive salary up to £165,000, leadership role, and career progression.
- Other info: Collaborative culture with opportunities for significant strategic influence.
- Why this job: Shape the future of data-driven decision-making and drive digital transformation.
- Qualifications: Senior leadership experience in data, analytics, or business intelligence required.
The predicted salary is between 165000 - 165000 £ per year.
This is a rare opportunity to take ownership of the data, analytics and AI strategy within a highly influential organisation operating in a complex, international environment. Sitting within the senior leadership team, you will play a pivotal role in shaping how data, insight and advanced analytics drive commercial decision-making, operational efficiency and digital transformation.
The Company operates within a highly regulated global sector and supports strategic sourcing and supply chain activities across international markets. They are investing significantly in their data, analytics and AI capabilities to ensure data becomes a strategic asset across the business.
The Role involves defining and delivering the organisation's enterprise data, analytics and AI strategy. Responsibilities include:
- Developing and executing the overall data, analytics and AI roadmap aligned to business priorities
- Leading multiple teams across data engineering, analytics, business intelligence, insight and data science
- Driving adoption of data-driven decision-making across senior leadership and business functions
- Establishing robust data governance frameworks, ownership models and data quality standards
- Shaping the organisation's approach to AI and machine learning, identifying opportunities to create measurable business value
- Overseeing modern data platforms, architecture and analytics capabilities
- Delivering strategic insight that influences commercial, operational and procurement decisions
- Building strong relationships with senior stakeholders across a complex matrix environment
- Championing data literacy and fostering a culture of innovation, collaboration and continuous improvement
- Managing and developing a high-performing team while supporting ongoing capability growth
Your Skills & Experience:
- Experience in a senior leadership role within data, analytics, business intelligence or insights
- A proven track record of developing and implementing enterprise data strategies
- Strong expertise across analytics, reporting, business intelligence and strategic insight
- Experience leading advanced analytics, machine learning or data science functions
- Knowledge of data governance, data quality and enterprise data management best practices
- Experience operating within large, complex or matrix organisations
- The ability to influence executive stakeholders and drive organisational change
- Strong commercial acumen with the ability to translate data into business outcomes
- Experience leading multidisciplinary teams and creating high-performance cultures
- Excellent communication and stakeholder management skills
What They Offer:
- Salary up to £165,000
- Senior leadership position with significant strategic influence
- Opportunity to shape and mature enterprise data, analytics and AI capabilities
- Leadership responsibility for a sizeable multidisciplinary team
- Exposure to complex, business-critical transformation initiatives
- Collaborative culture with strong executive sponsorship
- Excellent long-term career progression opportunities
If this sounds like the role for you, apply below!
Senior Director, AI, Data & Analytics in London employer: Harnham
Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Director, AI, Data & Analytics in London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Harnham.
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When you find a suitable opening like Senior Director, AI, Data & Analytics at Harnham, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Director, AI, Data & Analytics in London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Harnham, 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. 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
✨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 Harnham!
✨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.
