IT & Software Developer jobs in Switzerland
Interim Data Governance Lead
CHF 90’000 - 120’000
Mammut Sports Group AG
Birren 5, Seon
CHF 90’000 - 120’000
Requirements
Must:
- Further education in economics, financial management, operations, supply chain management (or equivalent)
- Min. 5 years of experience in an operational business role (Sales, Supply Chain, Finance)
- Min. 2 years in Master Data Governance or Management
- Broad understanding of the E2E processes in an omnichannel environment in textile or fashion industry
- Exceptional analytical skills and ability to manage complex business situations with competing targets
- Excellent team player with the ability to partner up, influence others and achieve joint view on business risk and opportunities
- Providing clarity, fact-based decision making, paired with endurance and stamina ensuring Global Data consistency and quality
- Ability to break down complex problems, identify supply chain risk to formulate solution alternatives and implement them along the Value Chain
- Strong practical skills with PLM, ERP, CRM, BI, and advanced analytics applications
- Fluent in English, other languages are a plus
Responsibilities
- Lead further development of Global Master Data Management for all divisions, including processes, tools and Data Migration projects
- Steer and guide the people responsible for master data in all areas of the organization
- Define, establish and further develop the data governance structure and organization (roles and responsibilities)
- Develop solution concepts for master data management
- Collaborate on special tasks and projects in the context of Enterprise architecture and compliance
- Hold co-responsibility for creating, managing and executing data migration plans, reporting the status in regular reviews and updates together with the Enterprise Architect, IT Solution Architect and all involved functions
- Monitor and enforce security, privacy, compliance policies and regulations in accordance with the know-how of subject matter experts and data stakeholders across departments
- Ensure compliance with internal requirements and directives within the framework of cloud governance, particularly considering the Information Security Act, Data Protection Act and Architecture, Technology and process guidelines
- Facilitate communication and collaboration between different teams and stakeholders related to Data Governance and Data Migration
Description
At Mammut, new ideas are being heard, and we offer a dynamic and agile work environment that provides fertile ground for their implementation. You will benefit from a hybrid workspace with the possibility to work up to 50% from home. We provide modern employment conditions and a good pension fund solution as standard. You will be equipped for your next adventure thanks to great discounts. Your workday is well balanced, thanks to our free sports program at Seon, access to the nearby climbing gym, and a highly frequented Barista coffee machine.
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You can find Data Engineer salaries in Switzerland here.
How many Data Engineer jobs are in Switzerland?
Currently, there are 305 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is Switzerland a good place for Data Engineers?
Switzerland is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in Switzerland?
St.Galler Kantonalbank, devedis, Swissquote, Docpier, Rockstar Recruiting AG, Ergon Informatik AG, ERNI Schweiz AG among others, are currently hiring for Data roles in Switzerland.
The company with most openings is Rockstar Recruiting AG as they are hiring for 27 different Data Engineer jobs in Switzerland. They are probably quite committed to find good Data Engineers.
The company with most openings is Rockstar Recruiting AG as they are hiring for 27 different Data Engineer jobs in Switzerland. They are probably quite committed to find good Data Engineers.