Senior Creative Strategist

About the role

A DTC jewelry brand entrusts this role with paid social creative strategy at significant scale. The position converts founder-level creative direction into a system that finds and scales winning concepts. It operates fully remote inside Europe during CET overlap hours.

Data roles turn raw information into decisions. Analysts query databases and build dashboards. Data scientists build models that predict outcomes. Data engineers build the pipelines that move and store data. All three work closely with business teams and need a mix of statistics, coding, and communication. Nearly every modern company runs on data teams, from startups to banks. A strong portfolio of past analyses matters more than degrees in many hiring decisions.

Key facts

What you'll do

Strategy is shaped by performance evidence, and Meta Ads ownership is assigned to this role. Testing structures are built so that creative can iterate quickly and production systems are documented.

Feedback is delivered clearly and is driven by campaign data, while video editors, designers, and other creatives are directed to align with objectives. Collaboration with founders and the performance marketing team turns insights into action, and workflows are refined to speed production. The internal creative team is supported as it is built and led.

Requirements

DTC or e-commerce background is required for this position. Brand-side or in-house experience must be meaningful and demonstrable. Meta Ads creative development must be handled hands-on with substantial budgets.

Direct-response advertising understanding and consumer psychology knowledge must be strong. Hooks, angles, concepts, scripts, and briefs have to be developed at a high standard. Analytical capability has to be solid when handling performance data. Structured creative testing and rapid iteration are mandatory. Designers, video editors, creators, and other creative team members may be managed. Copywriting skills have to be strong. Professional English has to be fluent. Autonomy has to be comfortable in a lean, fast-moving environment.

Fashion, jewelry, beauty, wellness, apparel, or other visually driven consumer brand experience is highly relevant. AI creative tools and AI-assisted production workflows are a strong plus.

Practical notes

Typical interview steps

Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.

Good to know

This role focuses on paid social creative strategy for fast-growing consumer brands. Common tools include Meta ad platforms, video editing software, and AI creative utilities.

Questions to ask

Worth asking in any interview: how the team measures success, who the role works with daily, what the onboarding looks like, and what the company is trying to achieve this year. Asking what past hires did well is a strong final question. Keep the list short and pick the questions that matter most to you.

Career growth

Data careers grow toward senior analyst, staff data scientist, or data engineering lead. Many professionals specialize in machine learning, analytics, or infrastructure. Cross-functional work with product and engineering teams becomes more important at senior levels. The field changes quickly, so continuous learning is part of the job. Professionals who can translate numbers into decisions tend to advance fastest.

About the company

Our client is launching a new international multi-asset CFD brokerage focused on growth across Africa, MENA, and Asia. The brokerage brand itself is at an early startup stage and is currently in its active launch phase.