At a Glance
- Tasks: Lead a dynamic team in data, AI, and digital product strategy.
- Company: Join a large customer-focused organisation with a significant impact.
- Benefits: Competitive salary, leadership opportunities, and influence over a vast technology portfolio.
- Other info: Opportunity to drive innovation and customer engagement at a large scale.
- Why this job: Shape the future of AI and digital experiences for hundreds of thousands of customers.
- Qualifications: Proven leadership in data teams, digital product ownership, and AI strategy execution.
The predicted salary is between 120000 - 180000 £ per year.
This is a function leadership role, not a product IC role and not a programme role. You will inherit and lead an established team — including a mature, well regarded data function (engineering, analytics, governance) and an emerging AI capability — with full ownership of its budget, hiring, performance and development, reporting one step from the executive committee and presenting regularly to the Board.
The role demands three things at once, and we will test all three: Candidates deep in one of these but absent in another will not be progressed.
- You lead data teams today. A standing data function has reported to you — data engineers, analysts, governance — and you can talk credibly about how you developed the team, not just what it built.
- You have owned digital product. Customer facing journeys, adoption and channel shift, with numbers you'll defend — not platforms for internal users, not roadmaps you influenced from the side.
- You set AI strategy and shipped it. An AI vision you authored, and at least one AI use case you took from proof‑of‑value into governed production with measured value.
The organisation is a large customer facing organisation, hundreds of thousands of customers, c.£1bn‑scale, with a large in‑house field workforce delivering essential services.
You will lead and grow the function, data, digital product and AI, multi‑million direct budget, influence over a technology portfolio ten times larger. Own the AI strategy the Board is asking for, the multi‑year vision, the governance that accelerates rather than blocks, the discipline that takes working prototypes into production with value cases attached. Drive customer channel shift, journeys redesigned end to end, adoption measured.
Director of Data, AI & Digital in Reading employer: Siena Partnership
As a Salesforce Programme Manager, you will thrive in a dynamic and supportive environment that values innovation and collaboration. Our company offers competitive day rates, flexible contract terms, and a culture that encourages professional growth through hands-on experience with cutting-edge technology. Located in a vibrant area, we provide unique opportunities to engage with senior leadership while driving impactful change across operations and finance.
StudySmarter Expert Advice🤫
We think this is how you could land Director of Data, AI & Digital in Reading
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Siena Partnership!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Director of Data, AI & Digital at Siena Partnership.
✨Leverage Professional Networks
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 Siena Partnership.
✨Apply Directly through Our Website
When you find a suitable opening like Director of Data, AI & Digital at Siena Partnership, 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 Director of Data, AI & Digital in Reading
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 Siena Partnership, 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 Siena Partnership. 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 Siena Partnership
✨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 Siena Partnership!
✨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.
