About the Role
We’re committed to making a digital difference. 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. Responsibilities
Lead end‑to‑end delivery of Data & AI projects, guiding from discovery through implementation and production rollout, ensuring quality, reliability, and business impact. Translate business goals into scalable data architectures and AI‑driven capabilities in collaboration with clients and internal teams. Coordinate multidisciplinary teams of data engineers, AI engineers, software engineers, and data scientists to deliver cohesive solutions. Shape the technical direction of projects, contributing to architecture decisions across data platforms, analytics environments, and AI/ML systems. Manage scope, priorities, timelines, and risks while ensuring alignment with stakeholder expectations. 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, participating in discovery workshops, technical scoping, and proposal development for new initiatives. Promote engineering best practices, ensuring high standards for architecture, documentation, security, data governance, and operational excellence. Mentor and grow teams, guiding engineers and project members, fostering collaboration, technical excellence, and continuous learning. Qualifications
Experience leading Data or AI projects, 5+ years working with data platforms, analytics solutions, or AI/ML systems, including coordinating teams or project delivery. Strong understanding of modern data architectures: 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 Azure, AWS, or GCP and data/AI technologies such as Databricks, MLflow, Airflow, or similar. Delivery and stakeholder management skills: ability to coordinate complex initiatives, manage priorities, and communicate effectively with both technical and business stakeholders. Strong collaboration mindset: thrive in multidisciplinary environments and enable 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
Impactful Data & AI projects across industries. Collaboration with experienced engineers, data scientists, and architects. Shaping modern data platforms and AI‑powered applications. Continuous learning and development opportunities. Flexible working environment with a strong team culture. Information About Compensation
In Austria, the minimum salary is €62,664 gross per year as per the collective agreement. We are willing to pay much more based on skills and experience. Equal Opportunity Statement
We are an equal opportunity employer. All applicants receive equal opportunity regardless of age, gender identity or expression, language, disability, ethnicity, national origin, religion, or sexual orientation.
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We’re committed to making a digital difference. 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. Responsibilities
Lead end‑to‑end delivery of Data & AI projects, guiding from discovery through implementation and production rollout, ensuring quality, reliability, and business impact. Translate business goals into scalable data architectures and AI‑driven capabilities in collaboration with clients and internal teams. Coordinate multidisciplinary teams of data engineers, AI engineers, software engineers, and data scientists to deliver cohesive solutions. Shape the technical direction of projects, contributing to architecture decisions across data platforms, analytics environments, and AI/ML systems. Manage scope, priorities, timelines, and risks while ensuring alignment with stakeholder expectations. 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, participating in discovery workshops, technical scoping, and proposal development for new initiatives. Promote engineering best practices, ensuring high standards for architecture, documentation, security, data governance, and operational excellence. Mentor and grow teams, guiding engineers and project members, fostering collaboration, technical excellence, and continuous learning. Qualifications
Experience leading Data or AI projects, 5+ years working with data platforms, analytics solutions, or AI/ML systems, including coordinating teams or project delivery. Strong understanding of modern data architectures: 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 Azure, AWS, or GCP and data/AI technologies such as Databricks, MLflow, Airflow, or similar. Delivery and stakeholder management skills: ability to coordinate complex initiatives, manage priorities, and communicate effectively with both technical and business stakeholders. Strong collaboration mindset: thrive in multidisciplinary environments and enable 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
Impactful Data & AI projects across industries. Collaboration with experienced engineers, data scientists, and architects. Shaping modern data platforms and AI‑powered applications. Continuous learning and development opportunities. Flexible working environment with a strong team culture. Information About Compensation
In Austria, the minimum salary is €62,664 gross per year as per the collective agreement. We are willing to pay much more based on skills and experience. Equal Opportunity Statement
We are an equal opportunity employer. All applicants receive equal opportunity regardless of age, gender identity or expression, language, disability, ethnicity, national origin, religion, or sexual orientation.
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