What are the responsibilities and job description for the AI, Data & Cloud Director position at Tharp Consulting?
The role involves leading AI, data, and cloud transformation initiatives using Google Cloud AI services to improve customer experience and operational efficiency across industries.
As a trusted advisor, you will shape AI strategies, design multi-agent conversational AI systems, and ensure seamless integration within enterprise workflows.
You will drive business development by identifying market opportunities, developing proposals, and securing new client engagements.
Managing and mentoring cross-functional teams, you will foster technical excellence and career growth, staying current with AI and Google Cloud innovations.
The ideal candidate possesses a minimum of 8 years in data analytics, AI/ML, and cloud technology, with hands-on experience in Google Cloud's AI ecosystem, including designing scalable, automated AI solutions and multi-agent conversational systems.
Advanced knowledge of AI architecture, ethical AI, MLOps, and integration with enterprise applications is essential.
Qualifications include a bachelor's degree, relevant certifications, and a strong blend of technical expertise and strategic insight.
Travel flexibility and authorization to work in the U.S. without sponsorship are required.
As a trusted advisor, you will shape AI strategies, design multi-agent conversational AI systems, and ensure seamless integration within enterprise workflows.
You will drive business development by identifying market opportunities, developing proposals, and securing new client engagements.
Managing and mentoring cross-functional teams, you will foster technical excellence and career growth, staying current with AI and Google Cloud innovations.
The ideal candidate possesses a minimum of 8 years in data analytics, AI/ML, and cloud technology, with hands-on experience in Google Cloud's AI ecosystem, including designing scalable, automated AI solutions and multi-agent conversational systems.
Advanced knowledge of AI architecture, ethical AI, MLOps, and integration with enterprise applications is essential.
Qualifications include a bachelor's degree, relevant certifications, and a strong blend of technical expertise and strategic insight.
Travel flexibility and authorization to work in the U.S. without sponsorship are required.