Data Scientist developing AI solutions for clients in computer vision and deep learning, collaborating within a hybrid environment between office work and customer sites.
About the role
- 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
Benefits
- Comprehensive benefits package
- Opportunities for professional development
- Career Coach meetings for career goals
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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