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Director of Data (f/m/d)
Исключительная вакансия с уникальными бонусами, такими как четырехдневная рабочая неделя (Flexi-Week) при полной оплате. Высокий уровень влияния на стратегию компании и возможность работы в гибридном или удаленном формате в Берлине или Лондоне.
Сложность вакансии
Роль уровня Director требует не только глубоких технических знаний в области MLOps и облачных платформ, но и выдающихся лидерских качеств для управления менеджерами и изменения корпоративной культуры в сторону 'data-as-a-product'. Высокая ответственность за стратегию и комплаенс в международной компании.
Анализ зарплаты
Предлагаемая позиция директора в Берлине/Лондоне соответствует верхнему эшелону рынка. В этих регионах для уровня Director of Data зарплаты значительно выше средних по IT-сектору, учитывая масштаб ответственности.
Сопроводительное письмо
I am writing to express my strong interest in the Director of Data position at Awin. With extensive experience in defining and executing data strategies within product-led technology environments, I am confident in my ability to accelerate Awin’s data and AI transformation. My background includes scaling modern cloud data platforms and leading cross-functional teams across data engineering, analytics, and machine learning to deliver measurable business impact.
Throughout my career, I have championed the 'data-as-a-product' mindset, ensuring that data initiatives are closely aligned with product and business priorities. I have a proven track record of implementing robust MLOps practices and formalizing data governance frameworks that balance innovation with regulatory compliance. I am particularly drawn to Awin’s commitment to a progressive work culture, including the Flexi-Week initiative, and I am eager to bring my leadership and technical expertise to your global organization.
I am excited about the opportunity to shape the future of data at Awin and would welcome the chance to discuss how my strategic vision and hands-on experience can contribute to your continued growth and success.
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Описание вакансии
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.
Established in 2000, Awin is proud of our dynamic, social and inclusive culture.
Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.
Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.
Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why
Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.
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Навыки
- Stakeholder Management
- Data Architecture
- Machine Learning
- Data Engineering
- MLOps
- Data Strategy
- Data Governance
- Analytics Engineering
- Cloud Data Platform
Возможные вопросы на собеседовании
Проверка способности мыслить стратегически и расставлять приоритеты в соответствии с бизнес-целями.
Как бы вы подошли к приоритизации пяти столпов стратегии данных Awin в первые 90 дней работы?
Оценка опыта внедрения продуктового подхода к данным.
Опишите ваш опыт внедрения концепции 'Data-as-a-Product'. С какими основными препятствиями вы столкнулись и как их преодолели?
Проверка технических знаний в области масштабирования ML-решений.
Какие ключевые компоненты MLOps вы считаете критически важными для масштабирования ML-возможностей в течение следующих двух лет?
Оценка лидерских качеств и опыта управления изменениями.
Как вы планируете повышать уровень грамотности в вопросах данных (data literacy) среди нетехнических подразделений компании?
Проверка умения балансировать между инновациями и рисками.
Как вы находите баланс между скоростью разработки инновационных AI-продуктов и строгими требованиями к управлению данными и конфиденциальности?
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