As a Project Manager Data AI, you will collaborate with ELCA colleagues and customers to deliver business value using cutting edge Data AI solutions. You will work with local architects and engineers as well as engineers from our offshore delivery centers. At the customer, you communicate with different target audiences (Business and IT) and build relationships at different levels. You also collaborate with Sales and the Data AI Architect to shape winning offers. The position requires strong communication and stakeholder management skills, as well as solid Data AI expertise across different technologies.
Tasks
- Deliver business value using cutting edge Data AI solutions and by creating a unified project spirit.
- Turn customers into promoters, in line with an NPS mindset, by successfully managing scope, quality, time and expectations.
- Shape winning offers together with Sales and Data AI Architects.
- Identify additional opportunities to solve customer problems.
Requirements
- Master's degree at university level (ETH/EPFL or equivalent).
- At least 8 years of experience delivering Data AI solutions using Azure, AWS, Databricks.
- Strong interpersonal skills and emotional intelligence.
- You know and master the differences between project management for data projects versus custom software development or system integration.
- Prior consulting experience in Romandie is preferred.
- Business knowledge or domain expertise in one of ELCA's key industries is an advantage, such as Banking, Health Services, Insurance, Retail, Manufacturing and Energy, Transportation and Logistics, or Public.
- Fluent French and English are mandatory; basic German is an advantage.
- Willingness to travel to clients in Romandie two days per week.
Benefits
- Diverse opportunities to expand your knowledge and experience by working on a wide range of exciting projects with varied clients and modern technologies.
- Attractive career and personal development prospects, with internal career paths, training and coaching.
- A flat hierarchy and a culture of collaboration across all disciplines.
- The chance to make an impact on society through your involvement in Data AI projects.
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