Manager, Data Engineering & AI Infrastructure at Jobgether – United States

Manager, Data Engineering & AI Infrastructure

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Manager, Data Engineering & AI Infrastructure in United States.This role leads the design, implementation, and operation of scalable, secure, and high-performance data and AI infrastructure to empower analytics, data science, and machine learning teams. You will oversee data pipelines, model deployment frameworks, and cloud-based infrastructure, ensuring operational efficiency, cost-effectiveness, and compliance with governance standards. The position requires both strategic leadership and hands-on technical expertise, managing a team of engineers to drive innovation and deliver impactful projects. Collaboration across cross-functional teams is key, with responsibilities spanning infrastructure optimization, workflow automation, and adoption of emerging technologies. Success in this role is measured by the ability to improve performance, enable data-driven decision-making, and ensure infrastructure supports long-term business goals.Accountabilities:

• Lead and mentor a team of Data Analytics and ML/AI Engineers, driving technical excellence and team development
• Design, implement, and maintain scalable and secure data pipelines, data lakes, and AI/ML deployment frameworks
• Develop cloud-based infrastructure and microservices to streamline model operationalization
• Collaborate with cross-functional teams to understand requirements and deliver tailored infrastructure solutions
• Automate data ingestion, transformation, and ML/AI workflows to improve efficiency and reliability
• Monitor and optimize infrastructure performance, scalability, and cost-efficiency
• Ensure compliance with data governance policies and regulatory standards
• Stay abreast of industry trends and emerging technologies, recommending innovations to maintain a competitive edge

Requirements:

• Bachelors degree in Computer Science, Data Engineering, or related field; Masters preferred
• 5+ years of experience in data engineering, ML/AI infrastructure, or similar technical roles
• Minimum 2 years of experience managing or leading technical teams
• Hands-on experience with cloud platforms, data pipelines, ML model deployment, and scalable infrastructure design
• Familiarity with data governance, security, and regulatory compliance
• Strong leadership, collaboration, and communication skills
• Relevant certifications (AWS, GCP, Azure) are a plus but not required

Benefits:

• Day-one health benefits including medical, dental, vision, and flexible spending accounts (HSA/FSA)
• 401(k) plan with company match
• Paid vacation, sick, and volunteer time off
• Paid parental leave options
• Employer-paid life and disability insurance
• Wellbeing programs and flexible work environment
• Casual dress code and collaborative, supportive work culture

Why Apply Through Jobgether?We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.We appreciate your interest and wish you the best! Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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