At a Glance
- Tasks: Lead data strategies for top consumer brands and transform insights into impactful campaigns.
- Company: Join a global media network's specialist data strategy division.
- Benefits: Hybrid work, extensive learning opportunities, and exposure to senior clients.
- Other info: Mentor junior team members and influence major advertisers' approach to privacy-first marketing.
- Why this job: Shape the future of audience planning with cutting-edge data solutions and AI technology.
- Qualifications: Strong background in data strategy and audience planning, with client-facing experience.
The predicted salary is between 58500 - 71500 £ per year.
- Data Strategy Director
- London | Hybrid, 3 days per week
A brilliant opportunity for a senior data strategist with media / ad-tech experience to help some of the UK's biggest consumer brands use data more intelligently across their media activity.
This is a highly client-facing role combining audience strategy, technology consultancy and team leadership.
You will bring together first, second and third-party data to create smarter audience strategies, then work closely with planning and activation teams to turn those recommendations into live campaigns.
- Company and benefits
- Join the specialist data strategy division of a major global media network.
- Work across high-profile brands spanning FMCG, retail, travel, entertainment, food delivery and hospitality.
- Gain access to advanced audience intelligence, data collaboration and AI-powered technology.
- Work closely with the VP of Data Strategy, with strong exposure to senior clients and agency leadership.
- Influence how major advertisers approach privacy-first audience planning and activation.
- Lead and develop one or two Data Strategy Managers.
- Access extensive learning, development and progression opportunities across a global organisation.
- Role and responsibilities
- Lead the development of data and audience strategies across a portfolio of major consumer brands.
- Bring together first, second and third-party data to improve audience understanding, targeting and activation.
- Translate complex client challenges into clear, practical data strategies.
- Design test-and-learn programmes across addressable paid media channels.
- Work closely with media planning and activation teams to embed data solutions into campaign delivery.
- Act as a senior, client-facing consultant across data, technology and privacy-first media.
- Evaluate emerging technology and identify valuable applications for audience intelligence, data collaboration and AI platforms.
- Help clients adopt new data solutions and develop use cases that deliver measurable value.
- Support the development of AI-based tools that automate or improve elements of the data strategy process.
- Manage, mentor and develop one or two Data Strategy Managers.
Skills and experience required
- Strong experience in data strategy, audience planning, digital media, advertising technology or a related area.
- A solid understanding of how first, second and third-party data can be applied across paid media.
- Experience developing audience strategies that translate into campaign planning and activation.
- Confidence presenting to clients and building relationships with senior stakeholders.
- Good knowledge of data products, identity, privacy-first marketing and emerging advertising technology.
- Ability to explain complex technical concepts clearly to both technical and non-technical audiences.
- Experience working across multiple stakeholders within a matrixed agency, technology or client-side environment.
- Previous line management or mentoring experience.
- A curious, commercial and forward-thinking approach to data and AI.
- Experience working with major consumer brands would be advantageous, particularly within FMCG, retail or travel.
Data Strategy Director - Media Agency in Slough 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 - Media Agency in Slough
✨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!
✨Show Off Your Projects
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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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When you find a suitable opening like Data Strategy Director - Media Agency at Silverdrum, 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 Data Strategy Director - Media Agency in Slough
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.
