Data Strategy Director, Europe - AI, Identity & Growth

Data Strategy Director, Europe - AI, Identity & Growth

Full-Time 63000 - 77000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead data-driven marketing strategies and unite diverse teams for impactful outcomes.
  • Company: Starcom, a leading marketing agency in London with a focus on innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Join a dynamic team dedicated to transforming marketing through technology.
  • Why this job: Shape the future of marketing with AI and emerging technologies for top global brands.
  • Qualifications: Experience in data strategy, marketing, and team leadership required.

The predicted salary is between 63000 - 77000 £ per year.

Starcom in London is hiring a Data Strategy Director to shape how data, technology and AI drive marketing transformation for a large client across Europe and Central Eurasia.

You will unite client teams, strategists, analysts and tech specialists to turn ambitious ideas into measurable outcomes.

You will lead regional strategy, collaborate on identity, measurement and emerging tech, and guide data governance to ensure responsible use across campaigns for world-leading brands.

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Data Strategy Director, Europe - AI, Identity & Growth employer: Publicis Digital Experience

Publicis Digital Experience offers a dynamic work environment that fosters collaboration and creativity. Employees have the opportunity to work on diverse projects across various sectors, including healthcare and media, allowing for professional growth and skill development. The company emphasizes the use of innovative technologies, such as AI, to enhance workflows and deliver high-quality results.

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Contact Details:

Publicis Digital Experience Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Strategy Director, Europe - AI, Identity & Growth

✨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 Publicis Digital Experience!

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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 Data Strategy Director, Europe - AI, Identity & Growth at Publicis Digital Experience.

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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 Publicis Digital Experience.

✨Apply Directly through Our Website

When you find a suitable opening like Data Strategy Director, Europe - AI, Identity & Growth at Publicis Digital Experience, 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, Europe - AI, Identity & Growth

Communication Skills
Problem-Solving Skills
Data Governance
Python
SQL
Automation
Data Engineering

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 Publicis Digital Experience, 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 Publicis Digital Experience. 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 Publicis Digital Experience

✨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 Publicis Digital Experience!

✨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.