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Metro location and visible data platform role increase applicants, but seniority and niche Azure/Databricks skills limit density.
Role requires specialized Azure data platform and regulated compliance experience, limiting cross-industry transferability.
Explicit 10+ years, mandatory Azure Data&AI skills, ITIL, and compliance needs make shortlisting stringent.
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Manage and ensure operational readiness, reliability, and performance of Data & AI platforms including Azure Data Lakes, Datafactory, Snowflake, DataBricks, and ETL/ELT pipelines.
Lead and coach a globally distributed Data Platform Operations team while remaining hands-on with platform configuration and technical problem-solving.
Own incident, problem, change, and release management processes applying ITIL practices, ensuring compliance, cost optimization, and continuous service improvement.
Minimum 10 years experience in IT Operations Management, Data Platform Operations Management, or related roles focusing on Data & AI Platform Management.
Strong hands-on expertise in Azure Data & AI platforms including Azure Data Lakes, DataBricks, Data Factory, Synapse, Purview, and Data Ingestion Pipelines.
Proven experience with ITIL best practices, incident/change/problem management, CI/CD implementation using Git-based source control and Azure DevOps or GitHub.
Proven people leadership and team management experience managing mid-sized globally distributed teams.
Experienced leader in enterprise-scale Data Platform operations within highly regulated, matrixed organizations with strong governance and compliance focus.
Technically hands-on with deep expertise in Azure Cloud Data & AI technologies and strong operational management skills.
Skilled at stakeholder management across technical and non-technical audiences, with a pragmatic, delivery-focused, and service-improvement mindset.