Director leading AI delivery operations for Crowe Studio in India. Focusing on people leadership, AI delivery excellence, and cross-functional transformation.
Responsibilities
Build, lead, and retain high-performing, multi-level teams across AI-enabled delivery and platform-aligned services
Develop and scale leaders of leaders, not just individual contributors
Provide informed leadership and oversight of AI-enabled delivery programs, including Generative AI, ML, AI engineering, and agentic workflows
Partner with AI architects, engineers, and FDE teams to ensure delivery quality, reliability, and reuse
Operate effectively across Studio ventures and disciplines (AI, Client Delivery, Platform, Design, Operations)
Serve as a senior Studio leader in India, representing Crowe Studio with credibility, confidence, and authority
Own delivery health across capacity planning, utilization, quality, cost, and performance
Drive repeatability, reuse, and standardization while maintaining high delivery standards
Requirements
10+ years of experience across AI, machine learning, data science, software engineering, or advanced analytics roles
Demonstrated leadership in AI transformation initiatives or AI-enabled delivery programs, including Generative AI and Machine Learning
Experience operating in FDE-style or productized delivery environments, not just advisory
Proven ability to build, lead, and retain high-performing teams at scale
Track record of developing next-level leaders, not just individual contributors
Experience building India leadership structures, not just delivery teams
Experience managing capacity, utilization, quality, and cost in global delivery models
Strong coaching mindset with clear expectations around accountability, growth, and culture
Strong understanding of AI system design, model lifecycle management, and production deployment
Proven ability to communicate technical concepts to executive and non-technical audiences
Experience working with cloud platforms (Azure preferred) and modern data/AI stacks
Strong background in governance, risk management, and enterprise delivery models
Bachelor’s degree required in business, technology, engineering, or a related field
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