Term állások Budapesten (projektmenedzsment)

• building and maintaining strong relationships with enterprise clients, understanding their business challenges and identifying AI opportunities
• collaborating with product managers, data scientists and engineers to translate client needs into actionable AI solutions

• Projektek előkészítése, tervezése és végrehajtása: A Profession. hu projektjeinek PM módszertan szerinti kezelése.
• Tervezési megbeszélések: Projektköltségek, időzítés tervezése és nyomon követése, erőforrások biztosítása, céges szintű prioritások betartása.

• Lead end-to-end delivery of Cloud and AI enablement programmes, managing timelines, risks, and resources.
• Act as the subject matter expert for Cloud and AI solutions, providing guidance to technical and non-technical stakeholders.

Implement transformation projects across sectors ensuring long-term impact delivery Manage workstreams largely independently with support of Delivery or Engagement Manager Lead junior consultants and clients in projects or workstreams Hold client meetings and workshops to achieve project objectives...

Implement transformation projects across sectors, ensuring long-term impact delivery Support leadership and client teams in workstreams Gradually assume responsibility for managing workstreams independently Support client meetings and workshops to achieve project objectives Contribute to the...

Serve as the primary contact for assigned clients, responsible for both project delivery and commercial relationship management. Plan, schedule, and oversee all phases of projects (discovery, development, testing, deployment), ensuring quality, timeliness, and budget adherence. Proactively nurture...

Integrating delivered components into working embedded systems Debugging firmware, drivers, and application-level issues Adapting and extending example code and reference designs Building internal demos and proof-of-concept applications Giving structured, technical feedback based on real usage...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Developing and maintaining data pipelines in Azure Databricks Writing transformation logic using Python and SQL Supporting data migrations and platform improvements Working within a structured, company-level Databricks framework Collaborating in a Scrum-based setup (2-week sprints, Jira, daily...

Define and evolve the long-term vision, strategy, and success metrics for shared services and integration capabilities within the Risk & Audit platform. Align platform investments with company strategy, architectural direction, and product portfolio needs. Own a roadmap focused on reusable...

Shape engineering strategy with broad organizational impact, influencing long-term architectural direction across multiple teams and products. Drive platform evolution, identifying common pain points and leading scalable, reusable solutions across systems. Engage in deep architectural discussions,...

Design and write automated test cases Expand test automation coverage Close collaboration with developers and product team Independent test case planning and implementation...