Data Operations Manager
Japan Tobacco International Ag
Dagmersellen, Switzerland
9 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English, French, GermanJob location
Dagmersellen, Switzerland
Tech stack
Amazon Web Services (AWS)
Data analysis
Azure
Google BigQuery
Cloud Computing
Information Systems
Information Engineering
ETL
Data Warehousing
DataOps
Data Streaming
Google Cloud Platform
Snowflake
Core Data
Information Technology
Data Management
Data Pipelines
Redshift
Databricks
Job description
We're looking for a Data Operations Manager who ensures that reliable, high-quality data flows across the organization. You will manage the core data operations that enable fast, confident decision-making and help teams turn data into business value., As the Data Operations Manager, you will…
- Oversee daily operations of data platforms and pipelines to deliver accurate, timely data to business teams.
- Track and report on operational KPIs such as data uptime, freshness, and incident response.
- Define SLAs, standards, and escalation processes with IT, data engineering, analytics, and governance.
- Drive automation and efficiency improvements, with a focus on the Swiss market.
- Ensure compliance with Swiss market data law, data privacy, security, and regulatory requirements.
- Act as a key partner to marketing stakeholders, ensuring their data needs are understood and met., Expect well-being initiatives, flexible work arrangements, growth opportunities, and excellent benefits, including a unique family leave policy.
Requirements
- University degree in Information Systems, Computer Science, Data Management or similar
- Proven experience in data operations, data science, data management, IT project management roles
- Solid experience managing data pipelines, cloud platforms (AWS, Azure, GCP), and ETL/ELT tools, as well as a background in monitoring, incident management, and operational support, will be a plus
- Strong understanding of data lifecycle management, governance, and quality monitoring and familiarity with modern data warehouses/lakes (Snowflake, Redshift, Big Query, Databricks) is a must
- Strong problem-solving, organizational, and governance skills
- Fluent English, good command of German or French is a plus
About the company
At JTI we celebrate differences, and everyone truly belongs. 46,000 people from all over the world are continuously building their unique success story with us. 83% of employees feel happy working at JTI.
To make a difference with us, all you need to do is bring your human best.