Lead auditor állás, munka

As a lead DevOps engineer, you will work side by side with your coworkers in an agile team in an environment which will allow you create the ideal conditions for your future career....

Stakeholder Collaboration, Business Understanding & KPI Generation: Partner with business stakeholders to understand their needs, implement business logic and co-create impactful KPIs...

• Drive business development efforts focused on Technology Transformation and Data & AI solutions within the local market.
• Build and maintain strong relationships with local financial institutions, including banks and wealth and asset managers.

As Lead Engineer (f/m/d)* Backend, you will take over the strategic, technical and disciplinary responsibility for one engineering team on our Agent Platform....

• You assess and understand the scope and use case of complex software applications.
• You analyze software requirements and interface documentation, then design the appropriate architecture.
• You implement and integrate software for distributed systems.

Lead the design, development, and evolution of suena's backend and API infrastructure—ensuring scalability, performance, and reliability as our platform grows....

You will be responsible for the development of complex IT architectures in innovative software solutions and for providing strategic-technological advice to our customers....

• Own and deliver end-to-end Salesforce solutions - from analysis, design, and development to deployment, monitoring, and incident response
• Lead and independently drive technical projects within the team and across domains, acting as a mature and solution-oriented technical counterpart

• Collaborate closely with your Tech Lead on architecting new features and seeing them through to completion.
• Design, develop, test, deploy and maintain software in a thriving environment.

• Design and lead development of AI products for business-specific use cases.
• Mentor and guide the software engineering team, setting clear technical directions and providing architectural oversight.

Develop and drive the implementation of Cloud Data Security strategy in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• You will drive all data-related activities within the global rollout, ensuring alignment with project goals and timelines
• Together with rollout managers, you will coordinate planning and execution of work packages across data preparation, mapping, validation, testing, and migration

As a Senior Program Manager in the Data & Analytics Unit, you will identify, launch & steer innovative projects in the field of data foundations and data insights (including ML). In this role, you will be responsible for the planning and successful execution of multiple data-driven business...

• Lead the delivery of complex IT initiatives, ensuring timely execution across internal and external teams
• Manage third-party suppliers and maintain performance oversight
• Coordinate integration points across Technology Delivery teams and communicate effectively with stakeholders.

Lead and plan Design Thinking / Strategic projects within cross-functional teams - quickly moving from early, explorative phases and initial hypotheses to prototypes, MVP definition and agile implementation of customer centric products & services...

• You own the strategy and roadmap for domain specific foundation models; align with engineering and production leaders.
• You build and adapt large language, reasoning, and multimodal models for automation at scale.

• Design and manage the global product cybersecurity audit framework, including methodology, templates, reporting structures, and audit cycles.
• Plan, coordinate, and lead audits across all Liebherr product divisions and sites worldwide.

• Define and prioritize product features and roadmap aligned with business goals
• Own the product backlog and ensure clarity and feasibility as well as maintaining of user stories , epics and features
• Collaborate with SCRUM/Nexus teams to drive agile development cycles

• Design the core elements of the conversion program based on consumer insights and data.
• Collect and benchmark best-in-class executions from various industries and co-create solutions with markets.
• Contribute to the evolution of the global onboarding strategy.

Translate complex business challenges into scalable data and AI products, guiding them from ideation to implementation. Use cases span pricing intelligence, sales rep activity planning and shop assortment optimization....