IT Support & Operations-Manager Snowflake

JOB REQUIREMENTS

Education and

Certifications Bachelor s or Master s degree in information technology, computer science, or a related field ITIL certification preferred; certifications in Agile/Scrum or PMP is preferred

Required Experience 9-12 years of IT experience with at least 5 years in an IT operations leadership or service delivery role Proven experience managing global operations, incident resolution, change and release management, and team leadership in a GCC setup Familiarity with ITSM tools (e.g., ServiceNow), SLAs, and cloud/hybrid infrastructure monitoring

Essential skills

Strong knowledge of IT operations, infrastructure management, and enterprise application support Experience in managing end-to-end data integration and transformation using SAP BODS and MuleSoft, ensuring seamless connectivity across heterogeneous systems Expertise in incident, change, problem, and release management frameworks and practices Experience leading geographically distributed teams in 24x7 support environments Experience with Agile/Scrum, SRE, AIOps, DevOps, FinOps models, and automation practices Strong communication, crisis management, and stakeholder management skills Proven expertise in managing enterprise-grade Linux environments, including system performance, patching, and automation Strong command over Snowflake architecture, data warehousing concepts, and performance optimization, with experience in managing data pipelines and governance Ability to assess operational health and drive continuous improvement initiatives for stability and performance

Desired skills

Experience managing support teams for SAP, cloud-based (GCP), or custom-built platforms Working knowledge of monitoring and alerting tools, infrastructure scripting, or observability platforms Exposure to vendor management and service contracts Ability to manage escalations, executive reporting, and audit / regulatory compliance for support functions Strategizes adoption of AI OPS to drive intelligent automation across IT operations Guides teams in operationalizing ML models with a focus on governance and scalability Familiarity with API-first approaches to enable modular and interoperable system design