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Tier-1 brand and metro location increase competition, but senior specialized manager role limits applicant pool.
Requires deep data platform and AI engineering experience, making candidates from other domains less transferable.
Requires proven data platform engineering leadership, architecture ownership, and operational governance, enforcing strict hiring filters.
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Lead and develop one or more engineering teams building scalable data and AI platforms supporting analytics and machine learning workloads.
Own end-to-end delivery of complex, cross-team data and AI platform initiatives, managing dependencies and prioritization aligned with business value.
Define and evolve system architecture ensuring scalability, security, operational excellence, and alignment with enterprise standards.
Bachelor’s degree in Computer Science, Engineering, Data Engineering, or equivalent.
Proven experience leading software engineering teams delivering data platforms, pipelines, or AI-enabled systems.
Strong background in distributed backend engineering (e.g., Java, Python) and data engineering concepts including ETL/ELT, data modeling, and large-scale data processing.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced engineering leader comfortable managing multiple teams and complex cross-functional delivery in data and AI domains.
Skilled in technical architecture and system design with the ability to influence and drive platform-wide technical decisions.
Familiar with operational best practices including monitoring, incident management, and ensuring production system reliability and security.