Engineering Manager with 10+ years in Sports Tech & AI Platforms
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Assessing your cultural and operational fit
Director of Operations with 14+ years leading high-performance teams across cricket analytics, fantasy sports, and AI-powered video intelligence platforms. Proven track record scaling operations from zero to production at India's largest sports tech organisations. Deep cross-functional delivery expertise spanning Product, Engineering, and Data Science. Skilled in SLA management, AI/ML workflow automation, data annotation pipelines, and real-time platform operations.
DY Patil University
MBA · Data Science & Analytics
N/A – Present
Unknown
BSc. · Computer Science
N/A – June 30, 2013
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Cultural Fit Analysis
The candidate has a consistent career trajectory within the sports tech industry, showing dedication and growth within this domain. Their experience spans various aspects of sports operations, from content and analytics to fantasy sports and AI-powered video analytics. The pursuit of an MBA in Data Science & Analytics and certifications in Google Data Analytics and GenAI for Executives indicates a proactive approach to continuous learning and staying current with industry trends, which is a positive cultural fit for a dynamic tech environment. However, the resume lacks explicit mention of open-source contributions, community involvement, or diverse project types outside of sports, which could broaden cultural fit in a general tech company.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, team building, and cross-functional collaboration skills, essential for an Engineering Manager. Their experience in defining and tracking SLAs, managing real-time data workflows, and implementing process automation indicates a robust operational mindset. The ability to recruit and ramp up teams, establish SOPs, and drive efficiency improvements aligns well with the demands of managing engineering operations.