Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A leading global professional services organization is seeking an AI Engineering Manager to lead teams focused on data analytics engineering, artificial intelligence, machine learning, and advanced technology solutions. The organization works with clients to transform complex data into actionable insights, develop innovative AI solutions, and enable informed decision-making and business growth.
The role combines technical leadership, client relationship management, team development, and the delivery of high-quality AI and data solutions. The successful candidate will embrace technology and innovation while maintaining strong professional standards and driving continuous improvement.
The AI Engineering Manager will lead the development of innovative AI solutions designed to deliver measurable client outcomes. The role involves supervising, developing, and coaching teams while managing client service accounts and ensuring the delivery of high-quality results that meet or exceed expectations.
The successful candidate will work closely with clients to understand their needs, cultivate strong relationships, analyze complex datasets, and implement advanced analytics and machine learning techniques to address complex business challenges.
Leadership and Professional Expectations
- Analyze and identify linkages and interactions between the component parts of complex systems.
- Take ownership of projects, ensuring successful planning, budgeting, execution, and completion.
- Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
- Develop skills beyond existing areas of expertise and encourage others to do the same.
- Effectively mentor and develop team members.
- Use work reviews as opportunities to deepen the expertise of team members.
- Address conflicts and issues effectively, including engaging in difficult conversations with clients, team members, and stakeholders when appropriate.
- Uphold and reinforce professional and technical standards, organizational codes of conduct, and applicable independence requirements.
- Lead with integrity and authenticity while promoting innovation and continuous improvement.
- Embrace technology and innovation to enhance project delivery and client outcomes.
Key Responsibilities
- Manage client accounts and ensure the delivery of exceptional results.
- Foster strong relationships with clients to understand their business needs and objectives.
- Lead, supervise, develop, and coach teams to achieve high-impact outcomes.
- Analyze complex datasets to derive actionable insights.
- Ensure adherence to quality standards and established practices across project deliverables.
- Drive the development and implementation of innovative AI and data solutions.
- Promote a collaborative environment that supports innovation and professional development.
- Implement industry standards and effective practices for project management.
- Drive continuous improvement initiatives within teams and project delivery.
- Apply advanced analytics and machine learning techniques to solve complex business problems.
- Support the development of predictive models, statistical analyses, and data visualization solutions.
- Ensure production-grade quality gates, monitoring, and standards are incorporated into solutions.
Required Qualifications
- High School Diploma.
- At least 4 years of professional experience.
Preferred Qualifications
- Master’s degree in Computer Engineering, Data Processing, Data Analytics, Data Science, Computer Science, Software Engineering, Artificial Intelligence, Robotics, or a related field.
- Demonstrated exceptional team leadership abilities.
- Experience managing client service accounts and delivering exceptional outcomes.
- Strong ability to foster a collaborative environment that encourages innovation.
- Experience analyzing complex datasets and developing actionable insights.
- Knowledge of industry standards and best practices for project management.
- Proven ability to cultivate and maintain strong client relationships.
- Experience driving continuous improvement initiatives within engineering or analytics teams.
- Understanding of production-grade quality gates, monitoring, and operational standards.
Disclaimer
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