Project Manager – Data & AI Transformation

TREYSTA Ingenieure Holding GmbH

. Further develop the Data & AI roadmap and translate it into concrete initiatives, MVPs, and scalable solutions .

Posted 10/8/2026full-timeRemote • GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing Data and AI solutions, with a strong focus on data architecture, governance, and security in multi-tenant environments. Proficient in evaluating technologies and collaborating with stakeholders to drive successful project outcomes.

Highest-signal resume keywords

Data ArchitectureAI Solution ImplementationMicrosoft EcosystemAI GovernanceGerman Language Proficiency (C1)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisAI TechnologiesAPIsCloud PlatformsData ProtectionInformation SecurityMVP DevelopmentUse Case AssessmentProduction DeploymentVendor Evaluation

Soft Skills

Confident CommunicationCollaboration

Tools & Technologies

AzureAI PlatformsData Platforms

Industry Keywords

Multi-Tenant EnvironmentEnterprise SolutionsData GovernanceBusiness Value Measurement

Tech Stack

Tools & technologies

AzureCloud

About the role

Key responsibilities & impact

Further develop the Data & AI roadmap and translate it into concrete initiatives, MVPs, and scalable solutions
Analyze data assets, assess their value, and develop data architectures
Consider data access, permissions, governance, and security in a multi-tenant environment
Design and implement AI solutions together with internal stakeholders and technology partners
Evaluate technologies, solution approaches, and vendors
Assess use cases with the group companies and provide guidance during implementation
Make successful local solutions available for use across the group
Support projects through to production deployment
Measure business value and derive recommendations for scaling and further investment
Collaborate with the Head of IT and external technology partners from strategy through to production deployment

Requirements

What you’ll need

University degree in Computer Science, Business Informatics, Data Science, Artificial Intelligence, Engineering, or a comparable field
Experience co-designing and practically implementing Data or AI solutions in an enterprise environment
Understanding of data architectures, APIs, and permission models
Understanding of AI technologies such as LLMs, RAG, and AI agents
Very good knowledge of the Microsoft ecosystem
Experience with AI, cloud, and data platforms
Foundational knowledge of AI governance, data protection, and information security
Ability to evaluate technical approaches and vendors thoroughly and objectively
Confident communication skills in German, at least C1 level
Confident communication skills in English, at least B2 level
Willingness to travel regularly within Germany
Preferred: Experience with Azure, complex multi-tenant environments, and scaling AI solutions across multiple organizational units

Benefits

Comp & perks

Permanent employment contract with competitive compensation
30 days of paid leave
December 24 and December 31 are company holidays
Flexible working hours
Remote-friendly working environment
Employee discounts through Corporate Benefits at more than 100 partner companies
Benefits card with a monthly credit of €50
Option to lease a JobRad bicycle
Financial compensation for days off to care for a sick child
Professional onboarding and active support from the team
Equipment to support successful work
Trust-based collaboration, short decision-making processes, and opportunities to take on responsibility