AI Engineering Practice Director
Cleartelligence
AI Engineering Practice Director
Cleartelligence
Data analytics consulting and visualization services
Cleartelligence is seeking a highly experienced and strategic Practice Director – AI to lead and grow our AI consulting practice. The ideal candidate has built their career leading large-scale Data Engineering and modern Application Development initiatives and has evolved into delivering AI, Machine Learning, and Generative AI solutions. They understand that successful AI begins with scalable data platforms, cloud-native applications, modern software engineering, and strong data governance.
As a senior consulting leader, you will help clients modernize their technology landscape and transform existing data and application investments into intelligent, AI-enabled solutions. You will serve as a trusted technical advisor while growing Cleartelligence's AI practice, expanding service offerings, and developing the next generation of AI consultants.
Your time will be split across three primary areas:
RESPONSIBILITIES
Practice Leadership and People Management
Business Development
Consulting Delivery and Client & Technical Leadership
The anticipated base salary range for this position is $200,000–$250,000. Final compensation will be determined based on experience, qualifications, and geographic location, and may include additional incentives and benefits.
It is our policy to provide and promote equal & affirmative employment opportunity to all employees and applicants following all local, state, and federal laws and regulations governing personnel activities.
Data analytics consulting and visualization services
Cleartelligence helps organizations turn data into actionable insights by providing data and analytics consulting that aligns business goals with data strategies. Its approach combines business and technical expertise to envision, design, and implement solutions using data management, visualization, and advanced analytics to solve complex problems. It differentiates itself through a strong mix of functional and technical know-how and end-to-end support from ideation to deployment, ensuring analytics tie directly to business objectives. Its goal is to enable every level of an organization to make better decisions by making trusted information available when and where it’s needed.
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