Manager - IT

Sugar Land, TX, United States

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We’re looking for a bold and visionary leader to spearhead the integration of AI, ML, and GenAI into Prime’s data strategy. This role is at the intersection of innovation and execution—driving real business impact by transforming how we use data to make decisions, optimize operations, and stay ahead of the curve. As the champion of AI at Prime, you’ll lead a team of talented engineers, partner across departments, and shape the future of our technology landscape. If you’re passionate about cutting-edge solutions, inspired by solving complex problems, and ready to lead from the front.

Key Responsibilities

  • Lead the integration of AI/ML and GenAI technologies into Prime’s data strategy to improve decision-making and operational efficiency.

  • Partner with cross-functional teams to identify business challenges and translate them into scalable, data-driven solutions.

  • Cultivate a culture of innovation, continuous learning, and engineering excellence within the team.

  • Stay ahead of emerging trends in AI, machine learning, and data technologies to ensure Prime remains at the forefront of innovation.

Qualifications

  • Formal training or certification in software engineering; experience managing complex technical challenges across teams.

  • Deep experience in data engineering and AI/ML solution design, including hands-on knowledge of GenAI technologies.

  • Proven track record of leading high-performing engineering teams and driving strategic technical initiatives.

  • Strong problem-solving and strategic thinking skills with a focus on delivering business impact through data and AI.

  • Excellent communication and stakeholder management skills, with the ability to influence at all levels.

  • Passion for emerging technologies and a drive to foster innovation across the organization.

  • Proficiency in Python, SQL, and experience with cloud-based AI tools (e.g., AWS SageMaker, Azure ML, Google Cloud AI).

Qualifications

Qualifications

  • Formal training or certification in software engineering; experience managing complex technical challenges across teams.

  • Deep experience in data engineering and AI/ML solution design, including hands-on knowledge of GenAI technologies.

  • Proven track record of leading high-performing engineering teams and driving strategic technical initiatives.

  • Strong problem-solving and strategic thinking skills with a focus on delivering business impact through data and AI.

  • Excellent communication and stakeholder management skills, with the ability to influence at all levels.

  • Passion for emerging technologies and a drive to foster innovation across the organization.

  • Proficiency in Python, SQL, and experience with cloud-based AI tools (e.g., AWS SageMaker, Azure ML, Google Cloud AI).

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Leadership Jobs

Tags: AWS Azure Data strategy Engineering GCP Generative AI Google Cloud Machine Learning Python SageMaker SQL

Region: North America
Country: United States

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