Vp Data - Munich, Deutschland - air up GmbH
Beschreibung
we question, we imagine, we dare, we do
:
Our vision is to make a healthy and sustainable lifestyle the most attractive choice
So we defy:
the status quo, misleading product, and nonsense rules We truly believe in the power of ideas and are thirsty to realize the ones that could have impact.
We're an eclectic bunch of creative minds, experts, builders, and improvers.Our perspectives, cultures, backgrounds, dreams, skills, and life paths may have nothing in common, but we gather behind a vision and sail together towards our ambitious goals.
Are you looking to take on a new challenge? Let's talk.The Team and Role:
At air up, data has always been at the core of our strategic vision.
As we enter our next phase of rapid growth, the role of data is more vital than ever in further growing and scaling our business.
As VP Data & AI, you will join a small team of world-class technology and product leaders and report directly to the CTO.
In addition to owning the overarching strategy, you will manage and continue to grow a multidisciplinary team of individual contributors organised into data analytics, data science, and data engineering sub-teams.
This role offers a unique opportunity for significant impact but also comes with the challenges of adapting to rapid changes and meeting high expectations.
Striking the right balance between long-term strategy and short-term deliverables, especially while scaling both the team and technology, will be crucial for success.
What You'll Do:
In a nutshell, you are expected to significantly contribute to air up's success by leveraging data for informed decision-making, innovation, growth, and scalability.
Strategic Initiatives
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Scaling:
Lead major technical and socio-technical initiatives to scale data analytics in line with air up's evolving growth and needs.
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Culture:
Foster a culture of data-driven decision-making across the organisation.
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Innovation and Growth:
Partner with Product, Engineering, and executives to integrate data and AI capabilities into our digital products and growth strategy.
Communication and Collaboration
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Vision:
Develop and lead with a compelling vision and robust strategy that inspires and aligns the company.
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Stakeholder Engagement:
Forge strong relationships across the organisation to tackle data-related challenges and empower stakeholders to leverage data to reach their objectives.
-Enablement:
Enhance data literacy across the company to maximise value derived from skilful data use.
Technical Leadership
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Technical Decision-Making:
Make key technical decisions concerning our data platform and architecture to ensure scalability, quality, and security.
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Expertise:
Lead and influence through deep technical expertise and authority.
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Innovation:
Harness state-of-the-art AI and machine learning techniques to advance our company mission and maximise business outcomes.
Delivery
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Ownership:
Assume ownership of outcomes attributed to data-driven initiatives.
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Project Delivery:
Ensure that data projects are delivered on time, within scope, and on budget.
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Agile and Lean:
Implement agile and lean values and practices to accelerate learning and value creation.
Team
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Leadership:
Lead and mentor a multidisciplinary team of data analysts, data scientists, and data engineers.
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Culture:
Instil a strong culture of agile and lean thinking within the team.
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Performance:
Uphold a high standard of excellence within the team through strategic recruitment of top talent and proactive performance management.
About You:
- You hold an advanced degree in Computer Science or a closely related field, equipping you with a solid foundation in analytical thinking and problemsolving abilities.
- You have served at the Engineering Director level or in a similar highranking position that requires a strong mix of technical expertise, leadership, and organisational savvy. Your career spans 1015 years in technical roles, with at least five years in management.
- You possess a customerfocused mindset and a strong ability to connect customer use cases to technology solutions. You always think holistically and can easily bridge the gap between technical and nontechnical realms.
- You can lead highly technical ICs, articulate technical strategies to executives, collaborate with Product Managers, and effectively bring nontechnical stakeholders on board.
- You have created advanced data platforms and implemented scalable, decentralised data architectures like data mesh, while also demonstrating adaptability to the unique needs of different organisations.
- You have a track record of building highperforming technical teams and developing strong leaders.
- You are a strong advoca
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