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Bengaluru metro and broad platform skillset create moderate competition despite seniority.
Strong Azure Data Platform and regulated-industry requirements make cross-industry transferability limited.
Explicit 10+ years, mandatory Azure Data&AI expertise, ITIL and regulated compliance increase strictness.
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Own and manage the day-to-day technical operations, stability, and compliance of the entire Data & AI platform landscape including Azure Data Lakes, Databricks, Data Factory, Snowflake, and ETL/ELT pipelines.
Lead and coach a globally distributed operations team while contributing hands-on to platform configuration, troubleshooting, and optimization activities.
Drive incident, change, and problem management processes following ITIL best practices, ensure 24x7 monitoring and high availability, and collaborate with multiple stakeholders to meet governance, risk, and data lifecycle objectives.
Minimum 10 years of experience in IT Operations, Data Platform Operations Management, Technical Service Delivery with focus on Data & AI platform management.
Strong hands-on expertise in Azure Data & AI platforms (Azure Data Lakes, Databricks, Data Factory, Synapse, Purview) and managing ETL/ELT pipelines.
Proven experience in incident, change, and problem management following ITIL best practices and operating in regulated environments with compliance adherence.
Proven people leadership experience managing global teams and strong stakeholder management skills.
Experienced in managing large scale Azure Data & AI platform operations in fast-paced, highly regulated environments with strong compliance and quality focus.
Able to balance hands-on technical problem solving with strategic leadership and operational management across distributed teams.
Experienced in defining and driving service improvement initiatives, operational excellence, and efficient platform onboarding frameworks.