Data & AI Project Leader (m/f/x)

Posted 2 Days Ago
Be an Early Applicant
9 Locations
In-Office
63K-63K Annually
Senior level
Artificial Intelligence • Cloud • eCommerce • Information Technology
The Role
Lead end-to-end delivery of Data & AI projects: translate business needs into scalable data architectures and AI solutions, coordinate multidisciplinary teams, shape technical direction, manage scope/timelines/risks, support cloud-deployed ML pipelines and model lifecycle, contribute to pre-sales, and mentor team members to ensure production-grade, governed deployments.
Summary Generated by Built In

At Cloudflight, we’re committed to making a digital difference. It’s a difference that impacts businesses and society alike and one that’s fueled by our passion for technology and our dedication to sparking the brightest ideas in ourselves and others.

As a Data & AI Project Leader, you will bridge strategy and execution. You will lead multidisciplinary teams delivering modern data platforms and AI-powered products while working closely with clients and internal experts to translate ideas into scalable, production-grade solutions. 

You will combine technical leadership, project delivery, and client collaboration to drive successful data and AI initiatives from concept to operation.

Your daily tasks will include

  • Lead end-to-end delivery of Data & AI projects. Guide projects from discovery and solution design through implementation and production rollout, ensuring quality, reliability, and business impact. 

  • Bridge business goals with technical solutions. Work with clients and internal teams to translate business requirements into scalable data architectures and AI-driven capabilities. 

  • Coordinate multidisciplinary teams. Lead collaboration between data engineers, AI engineers, software engineers, and data scientists to deliver cohesive solutions. 

  • Shape the technical direction of projects. Contribute to architecture decisions across data platforms, analytics environments, and AI/ML systems. 

  • Drive project planning and delivery excellence. Manage scope, priorities, timelines, and risks while ensuring alignment with stakeholder expectations. 

  • Enable scalable data and AI capabilities. Support the design and implementation of modern data platforms, ML pipelines, and AI services deployed in cloud environments. 

  • Contribute to pre-sales and solution design. Participate in discovery workshops, technical scoping, and proposal development for new Data & AI initiatives. 

  • Promote engineering best practices. Ensure high standards for architecture, documentation, security, data governance, and operational excellence. 

  • Mentor and grow teams. Guide engineers and project members, fostering collaboration, technical excellence, and continuous learning. 

 

What will make you succeed in this role 

  • Experience leading Data or AI projects. 5+ years working with data platforms, analytics solutions, or AI/ML systems, including experience coordinating teams or project delivery. 

  • Strong understanding of modern data architectures. Knowledge of data platforms, pipelines, lakehouse/warehouse architectures, and data governance principles. 

  • Familiarity with AI/ML ecosystems. Understanding of ML workflows, model lifecycle management, and modern AI capabilities such as LLMs, RAG systems, or AI agents. 

  • Cloud and platform experience. Hands-on exposure to cloud environments (Azure, AWS, or GCP) and data/AI technologies such as Databricks, MLflow, Airflow, or similar ecosystems. 

  • Delivery and stakeholder management skills. Ability to coordinate complex initiatives, manage priorities, and communicate effectively with both technical and business stakeholders. 

  • Strong collaboration mindset. You thrive in multidisciplinary environments and enjoy enabling others to succeed. 

  • Curiosity for emerging technologies. Interest in exploring new developments in AI, data engineering, and cloud technologies. 

  • Fluent English. Additional languages (such as German) are a plus. 

 

What you can expect 

  • Working on impactful Data & AI projects across industries 

  • Collaborating with experienced engineers, data scientists, and architects 

  • Shaping modern data platforms and AI-powered applications 

  • Continuous learning and development opportunities 

  • Flexible working environment with strong team culture 

Austria: The law stipulates that the minimum wage must be specified in job postings. The minimum salary is €62.664 gross/year in the collective agreement. Adequate to your skills, we are willing to pay much more.

We are an equal opportunity employer. We strive to create an inclusive environment where everyone can thrive regardless of their background and circumstances. All applicants receive equal opportunity regardless of age, gender identity or expression, language, disability, ethnicity, national origin, religion, or sexual orientation.

We will go through your application and come back with feedback.

Any questions? Contact us at [email protected]

Skills Required

  • 5+ years leading Data or AI projects, coordinating teams and project delivery
  • Strong understanding of modern data architectures (lakehouse/warehouse architectures) and data governance
  • Familiarity with AI/ML ecosystems, ML workflows, model lifecycle management, LLMs, RAG systems, or AI agents
  • Hands-on exposure to cloud environments (Azure, AWS, or GCP) and data/AI technologies such as Databricks, MLflow, Airflow
  • Delivery, stakeholder management, and project planning skills (scope, priorities, timelines, risk management)
  • Fluent English
  • German language skills
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The Company
1,000 Employees
Year Founded: 2019

What We Do

Cloudflight is a leading European full-service provider specializing in industrial digital transformation. The company employs over 1,000 experts, including software engineers and data scientists, to help businesses co-create digital value. Their expertise spans customized software development, cloud-native solutions, Artificial Intelligence, and eCommerce, supporting companies in evolving their digital processes, products, and business models to drive progress, resilience, and innovation across various industries.

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