Job Summary
The role includes leading service delivery across multiple data products and teams. The position blends operational leadership, stakeholder communication, technical supervision and incident coordination. Ideally/target will evolve to service scalability for key data products, ensuring the quality and stability of data services.
Key responsibilities
- Oversee daily data operations and ensure SLA adherence
- Prioritize and coordinate incident resolution across multiple team members
- Serve as escalation point for data processing, data quality, and user support issues
- Plan resources for maintenance, fixes, and small change deliveries
- Report on operational metrics, case trends, and quality of service to stakeholders
- Maintain transparent communication with product owners and business teams
- Guide process improvement, documentation, and team development
Minimal
- Very good communication skills (verbal and written)
- Very good command of English (we work with global clients)
- 2+ years experience in data engineering projects
- 2+ years experience with customer support related to data products
- Strong analytical thinking and problem-solving skills with proactive approach
- Proven experience supporting data products from both technical and data perspectives
- Proven experience managing incidents and changes lifecycles in Jira or ServiceNow
- Analytical and structured approach to triage, prioritization, and communication
- Experience working in global teams and supporting U.S.-based clients
- Excellent written and verbal communication in English
Nice to have
- Proven experience supporting data products from both technical and data perspectives
- Solid understanding of ETL/data pipeline operations (Autosys, UC4, Snowflake)
- Familiarity with data quality tools or frameworks
