Vice President Data & AI Engineering (m/f/d)

Das ist der Job

You play an active role in sales and pitching activities and represent OMMAX in strategic client interactions.

Darum lohnt es sich

What we look for: You jointly take on the strategic leadership and further development of the Data & AI Engineering practice together with the management team. You own the end-to-end architecture of complex data and AI platforms and drive their successful delivery across multiple teams and client engagements.

You ensure that architectural decisions translate into scalable, production-grade solutions that can be effectively executed by delivery teams. You work closely with the OMMAX Leadership Team and People & Culture to scale the team and attract top talent.

You have proven experience in leading teams and managing complex technical projects in client-facing environments. What you can expect: Your impact is crucial: You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation.

You benefit from attractive salary packages, participation in sales success and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits.

Your working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, London, Amsterdam, Milan and Berlin.

Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships as well as mobility and meal allowances and a wide range of other company benefits.

Composed of >300 international experts and with >2.000 realized projects in the fields of digital strategy, digital operational excellence, data science, and transaction advisory services, OMMAX is a front-runner regarding holistic data-driven strategy consulting and end-to-end execution of digital solutions.

You shape the technological direction of data, cloud, and AI systems, including distributed architectures, data platforms, and LLM- and agent-based applications. You define and establish standards, best practices, and reusable architectures to continuously raise engineering excellence.

You drive innovation in AI, LLM systems, and platform architecture and develop new services and thought leadership based on emerging trends. What we require: You hold an outstanding degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.

You bring several years of functional and leadership experience in data, AI, or software engineering environments. You demonstrate deep expertise in distributed systems, data platforms, and cloud architectures. You have extensive experience designing and scaling production-grade AI and LLM systems, including retrieval and agent-based architectures.

You are highly proficient in Python and experienced in building scalable, event-driven backend systems. You combine strong analytical skills with an entrepreneurial mindset. You are fluent in English; additional local language skills are a plus. Your hard work pays off!

Your development - our concern: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility and have the opportunity to shape your individual career at OMMAX - with us you will become a digital leader!

Your view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries.

About us OMMAX – Building Digital Leaders is a digital strategy consultancy based in Europe, specializing in sustainable digital value creation in over 50 countries, while catering to an array of mid-sized companies, large enterprises, and >50 private equity firms around the world.