Data operations manager állások Külföldön egyetemi végzettséggel

Prepare, manage, and run our annual global compensation processes (compensation review and bonus payout process) as well as annual goal management processes in Workday, including communication and training for our global compensation community and intensive process support....

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the AI Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads.

You build, validate, and analyse finite element models (FEA/FEM) for structural, crash, noise, vibration, roughness, and aerodynamic simulations....

• Risk Function Transformation: Drive the evolution of our risk management framework to align with supervisory standards
• Internal Control & RCSA Oversight: Lead the identification and remediation of gaps in policies, processes, and documentation within the Internal RCSA system

Lead the Redevelopment of Global Rewards Products: Drive the transformation and modernization of Total Rewards products by guiding the review, redesign, and implementation of globally integrated frameworks. Ensure each product area — LTI, STI, Merit, Performance Management, Job Architecture, and...

• Defines and develops the Global Process Engineering strategies and plans
• Interface with site leaders, Global Engineering heads and other global functional leads to ensure that strategies, plans and activities are integrated and aligned with the overall corporate objectives

• 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.

• Compliance AML:
• Client due diligence during onboarding
• Control the account opening process in relation to regulatory obligations, such as AML/KYC
• Perform Client File Reviews
• Client Transaction Review on a quarterly base
• Pep and high risk Review annually
• Client data CRM

• 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.

Develop high performance analog / mixed-signal architectures & circuits from initial concept through prototype approval and until production ramp, including design for: manufacturability, yield, test, and reliability...

• You will take overall technical responsibility for complex, cross-functional AI initiatives - from requirements analysis through to implementation.
• You will independently identify, evaluate and manage AI-related projects.

Design and deliver AI-driven solutions for Swiss Financial Services clients, focusing on Agentic AI, intelligent automation, AI enablement, data engineering, and scalable application development....

• 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

• Technical support interface (HW/SW/Optics) for Engineering, Marketing, Product Management, and customers
• Performance analysis and system validation of ams Osram and competitive products

Act as specialist for private credit strategies and coordinate capital raising efforts;...

• Plan and execute automation projects from concept through commissioning.
• Design, program, and implement control systems (e.g., PLC, HMI, SCADA).
• Optimize automated processes for performance, safety, and reliability.

implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux....

• Design, implement, and manage Hybrid AWS infrastructure using Terraform across multiple accounts and regions.
• Take part in crucial software architecture decisions.
• Maintain secure and scalable hybrid setups between Edge, Cloud and On-Prem.
• Maintain critical infrastructure in the AWS Cloud.