At a Glance
- Tasks: Lead data strategy and drive impactful data initiatives across a global organisation.
- Company: Awin, a forward-thinking tech company focused on data and AI transformation.
- Benefits: Flexible four-day work week, health insurance, and remote work options.
- Why this job: Shape the future of data and AI while making a real business impact.
- Qualifications: Proven experience in data strategy and leadership in tech environments.
- Other info: Join a dynamic team with a focus on collaboration and innovation.
The predicted salary is between 80000 - 100000 ÂŁ per year.
Location: Berlin or London (hybrid/remote)
Reporting to: Vice President Technology
Purpose of the Position:
At Awin we’re scaling our data and AI capabilities and creating a brand‑new Director of Data role to accelerate that transformation. You’ll partner with senior leadership to translate our multi‑year data strategy into real business impact, strengthening how we govern, operate, and leverage data across our global organization. With ownership across data engineering, our platform, analytics, and ML functions, you’ll shape how data fuels smarter decisions, better products, and sustainable growth.
Key Tasks And Responsibilities:
- Translate Awin’s five data pillars into a clear, multi‑year strategy and roadmap with measurable outcomes.
- Align data initiatives with product and business priorities and communicate progress and impact to senior leadership.
- Own and evolve our modern cloud data platform to improve scalability, reliability, performance, and cost efficiency.
- Champion engineering excellence and support data engineering teams in continuously improving best practices.
- Scale and mature our data science and ML capabilities, including expanding the team over the next two years.
- Implement strong delivery practices for ML models and analytics, including experimentation, monitoring, retraining, and documentation.
- Enable broader self‑service analytics by standardizing key datasets, metrics, and data access patterns.
- Lead company‑wide data literacy initiatives, ensuring non‑technical teams can use tools and insights safely and effectively.
- Strengthen governance by formalizing data ownership models, access controls, policies, and regulatory compliance.
- Implement and refine data quality and lineage processes, including clear accountability and transparent quality metrics.
- Introduce and embed a data‑as‑a‑product mindset, ensuring key datasets, models, and services have defined owners, documentation, and feedback loops.
- Measure the success of data products based on adoption, satisfaction, and business value (not just delivery).
- Lead, coach, and develop a high‑performing team across data engineering, analytics, and data science disciplines.
- Shape an operating model that promotes collaboration, high standards, and strong integration with Product & Tech.
- Partner with Security, Legal, and Compliance to manage data privacy, governance, and model‑related risks as our platform and use cases scale.
Skills And Experience:
- Proven experience defining and executing a data strategy in a product‑led tech environment.
- Track record owning an end‑to‑end data and ML roadmap, from discovery to delivery and iteration.
- Hands‑on experience scaling a modern cloud data platform (lake/warehouse, orchestration, streaming).
- Deep understanding of the full ML lifecycle and MLOps / analytics engineering best practices.
- Experience implementing data architecture standards, data contracts, and governance across domains.
- Leadership experience managing managers and senior ICs within growing or transforming data teams.
- Ability to collaborate effectively with Product, Engineering, and commercial stakeholders.
- Exceptional communication skills for technical and non‑technical audiences.
- A product mindset focused on customer and business problems, not technology for its own sake.
- High ownership, resilience, and comfort with ambiguity in a fast‑moving environment.
- Strong advocate for data quality, ethics, and responsible AI.
Our Offer:
- Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four‑day Flexi‑Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves.
- Flexi‑Office: We offer an international culture and flexibility through our Flexi‑Office and hybrid/remote work possibilities to work across Awin regions.
- Health & Wellbeing: The insurance covers several types of health, vision and/or dental treatments for you and for up to one additional family member.
Director of Data (f/m/d) employer: Awin Global
Contact Detail:
Awin Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of Data (f/m/d)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its data strategy. Show them you’re not just another candidate; you’re genuinely interested in how you can contribute to their goals.
✨Tip Number 3
Practice your pitch! Be ready to explain how your experience aligns with their needs, especially around data governance and ML. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Director of Data (f/m/d)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight how your experience aligns with the Director of Data role. Use keywords from the job description to show that you understand what we're looking for.
Showcase Your Achievements: Don’t just list your responsibilities; focus on your achievements! Quantify your successes where possible, like improving data processes or leading successful projects. We love seeing how you've made a real impact in previous roles.
Be Clear and Concise: Keep your application clear and to the point. Avoid jargon unless it’s relevant to the role. We appreciate straightforward communication, so make it easy for us to see why you're a great fit!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Awin Global
✨Know Your Data Strategy
Before the interview, make sure you thoroughly understand Awin's data strategy and how it aligns with their business goals. Be ready to discuss how you would translate their five data pillars into actionable plans and measurable outcomes.
✨Showcase Your Leadership Skills
Prepare examples of your past leadership experiences, especially in managing data teams. Highlight how you've successfully scaled teams and implemented best practices in data engineering and analytics, as this role requires strong leadership capabilities.
✨Demonstrate Technical Expertise
Brush up on your knowledge of cloud data platforms and the full ML lifecycle. Be prepared to discuss specific technologies you've used and how you've improved scalability and performance in previous roles. This will show that you have the hands-on experience they’re looking for.
✨Communicate Effectively
Practice explaining complex technical concepts in simple terms. Since you'll be working with both technical and non-technical stakeholders, being able to communicate clearly and effectively is crucial. Prepare to give examples of how you've done this in the past.