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High — Tier-1 employer, metro location, common delivery role with broad data/AI requirements.
High — requires domain-specific data/AI delivery experience, GenAI familiarity, and delivery P&L ownership.
High — explicit 12–18 years plus mandatory data/AI delivery, P&L ownership, and people leadership.
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Lead engineering teams delivering data foundations and AI/GenAI client engagements end-to-end from planning to deployment and Managed Ops transition.
Own delivery metrics including client governance, quality standards, cost, schedule, revenue realization, EBIT, and deployment efficiency.
Manage people leadership including hiring, performance, career development, and build technical capability in data and AI/GenAI engineering.
12–18 years of experience in software/data engineering delivery with delivery-management and people-leadership experience.
Educational qualification: B.E/B.Tech/MCA/PhD or equivalent.
Strong expertise in data engineering and AI/ML delivery including GenAI, RAG, and agentic solution delivery.
Proven experience managing delivery revenue, EBIT, cost, schedule, quality, and leading teams (first-level leadership).
Experienced delivery leader with hands-on management of complex AI/data engineering projects across multiple delivery stages.
Proficient in agile delivery, engineering quality, and delivery governance with accountability for financial and operational metrics.
Skilled in client engagement management, escalation resolution, and fostering technical talent development in data and AI domains.