Information analyst állások, munkák

• Define, maintain, and evolve DLP governance requirements, internal security policies, and written rules in alignment with the ICT risk framework and regulatory expectations.
• Establish clear requirements for information handling, classification, data transfer, endpoint usage, and media protection etc.

• Contribute biological expertise and domain knowledge to the development, validation, and implementation of AI-supported candidate gene discovery approaches.
• Identify, analyse, integrate, and interpret complex multi-omics datasets to support candidate gene discovery and trait development.

• Global product ownership for safety, health, and environmental compliance systems
• Monitoring corrective and preventive actions (CAPAs) and driving consistent application across global sites
• Documentation of process features, user stories, and requirements in technical platforms

• Own the full commercial performance of your categories, including P&L, inventory health, growth, and profitability drivers
• Define and execute category strategies based on customer behavior, market trends, competitor dynamics, and commercial opportunities

• Design and maintain enterprise-wide data models including conceptual, logical, and physical layers
• Lead data architecture for core platforms and support cross-value-stream data requirements
• Define data standards, naming conventions, and modelling best practices

• Identify and analyze customer-specific requirements, and recommend process improvement strategies across all projects.
• Develop and standardize QA program for projects according internal and customer requirements.

• Lead the requirements during the BBP workshops.
• Translate business needs into clear, structured functional requirements.
• Support the Sr. Lead Consultant the coordination of business stakeholders and the delivery team (Configuration, data conversion and testing teams)

• Analyze available data sources for measuring the usage of AI-assisted software development tools (e.g., activity logs, usage metrics, prompt data, and other relevant sources)
• Define meaningful KPIs to measure adoption, engagement, productivity support, and potential quality-related effects

• Support architecture discussions, workshops and decision-making processes
• Create stakeholder-ready presentations and architecture artefacts
• Help drive Data & AI governance and architecture initiatives
• Collaborate with engineering, business and data teams across the organization

• Managing and preparing monthly and quarterly closing
• Ensuring accuracy and compliance with internal financial standards
• Preparing pre- and post-calculations to support decision-making and cost transparency
• Contributing to the development of financial plans, forecasts, and analytical reports

• Support project teams with the coordination and implementation of programme activities.
• Assist with the preparation and formatting of project documents, work plans, and other internal working materials.
• Support the development of PowerPoint presentations, videos and other visual materials.

Own and develop the integrated buy-side and sell-side pricing framework across both our Consumer Electronics and our Media business, for fast and slow turners, ensuring buy prices are explicitly connected to sell-side economics; this includes designing and continuously optimising the data-driven...

You own and shape the team backlog – turning fuzzy ideas, customer feedback, and strategic roadmap objectives into a clear, prioritized list of things actually worth building....

• Architect Zero-Trust environments for LLM-based solutions
• Implement private networking (Private Link), granular RBAC (Entra ID), and automated policy enforcement
• Ensure compliance with enterprise security and audit standards
• Bridge Data Science and Engineering

As a student/intern in Innovation Management (d/m/f/x), you support the team in researching and evaluating new technologies and developments, particularly in the areas of artificial intelligence, cyber security, AI security, dual use technologies and defense applications....

Represent Goldman in complex debt restructurings involving multiple stakeholders (creditors, sponsors, management teams, external advisors)...

• Monitor emerging AI developments across all domains and advise IT, leadership and internal stakeholders on opportunities arising from technological advancements in AI
• Identify and evaluate AI use cases together with administrative, scientific service and research units

• Build and optimize data pipelines and SQL queries against large investment datasets
• Prototype and evaluate new approaches: agent architectures, retrieval strategies, tooling and document findings for the team

• You will play a crucial role in bringing new ML and CV functionality to our new revolutionary digital microscopy online platform at ZEISS
• Together with our team of software developers and machine learning engineers you will work on improving our automated machine learning and computer vision toolset

• Develop, maintain and optimize Python and Linux shell scripts for data extraction, transformation, and loading.
• Build automated pipelines and reusable code modules to support recurring reporting and analytics workloads.
• Ensure accuracy, completeness, and consistency of datasets.