At a Glance
- Tasks: Lead data strategy for a major telecommunications account and drive innovative projects.
- Company: Join a global media network's specialist data and technology division.
- Benefits: Fixed-term contract with competitive salary and opportunities for professional growth.
- Other info: Collaborative team culture with access to advanced technology and AI capabilities.
- Why this job: Make an impact by delivering industry-first work in a progressive, tech-savvy environment.
- Qualifications: Six years' experience in data-led digital media and strong knowledge of paid media.
The predicted salary is between 60750 - 74250 £ per year.
An exciting opportunity to lead data strategy for one of the UK’s largest and most data-rich telecommunications accounts.
The client is highly engaged, technically sophisticated and willing to test new ideas, creating genuine scope to deliver industry-first work across audience strategy, AI, advanced bidding and privacy-first media.
You will lead complex projects, influence senior stakeholders and manage an established data strategy team.
You’ll have at least six years’ experience in a data-led digital media role within an agency, technology business, vendor or advertiser, with strong knowledge of paid media, audience strategy and data-driven activation.
- Company and benefits
- Join the specialist data and technology division of a major global media network.
- Lead data strategy across several well-known consumer telecommunications brands.
- Work with a progressive client that actively champions innovation and experimentation.
- Deliver high-profile projects with the potential to create agency and industry firsts.
- Access advanced audience data, technology, AI capabilities and specialist engineering teams.
- Work across a broad, collaborative team spanning strategy, transformation, planning and activation.
- Manage and develop an established team across Associate Director, Manager and Associate levels.
- Fixed-term contract with a required start date no later than January 2027.
- Role and responsibilities
- Lead the development of data-led audience and bidding strategies across paid media.
- Use the client’s extensive data and technology ecosystem to identify new testing and activation opportunities.
- Create strategic recommendations across addressable media channels and ensure activity is measurable and methodical.
- Own key technology and data workstreams, including advanced clean-room and cloud-based marketing solutions.
- Lead the development and evolution of the client’s paid media audience approach and playbook.
- Bring together client data, agency technology, AI capabilities and specialist partners to create innovative solutions.
- Translate between technical and non-technical teams, ensuring projects remain aligned with commercial and marketing objectives.
- Identify future data signals and products that could improve targeting, bidding and campaign effectiveness.
- Work closely with embedded engineering, technology consulting and media activation teams.
- Oversee the quality of work produced by the wider data strategy team and remove barriers to delivery.
- Help accelerate the practical adoption of AI across the account.
Skills and experience required
- At least six years’ experience in a data-led digital media role within an agency, technology business, vendor or advertiser.
- Strong knowledge of paid media, audience strategy and data-driven activation.
- Experience using data and technology to improve campaign planning, targeting, bidding or measurement.
- Confidence managing senior clients and multiple stakeholders within a complex matrixed environment.
- Ability to turn technical concepts into clear, commercially relevant recommendations.
- A strong understanding of data products, AI and emerging advertising technology.
- Knowledge of privacy-first media and how changing data availability affects audience strategy.
- Previous experience managing or developing data strategy, media or technology specialists.
- Strong presentation, relationship-building and project leadership skills.
- Telecommunications experience would be beneficial but is not essential.
- #J-18808-Ljbffr
Data Strategy Director FTC employer: Silverdrum
Join one of the UK's leading Marketing Science teams as a Senior Consultant in London, where you'll be part of a dynamic and innovative work culture that values collaboration and creativity. With a strong focus on employee growth, you will have the opportunity to work on high-impact projects for major brands, while enjoying a competitive salary and benefits package. This hybrid role not only allows for flexibility but also positions you at the forefront of marketing effectiveness, making it an ideal place for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Strategy Director FTC
✨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 Silverdrum!
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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 Silverdrum.
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We think you need these skills to ace Data Strategy Director FTC
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 Silverdrum, 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 Silverdrum. 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 Silverdrum
✨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 Silverdrum!
✨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.
