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 the development of innovative artificial intelligence and data analytics solutions. The organization works with clients to leverage advanced technologies, machine learning, data engineering, and analytics to transform complex data into actionable insights and deliver measurable business outcomes.
The role combines technical leadership, client engagement, team development, and delivery management. The successful candidate will guide teams in developing high-quality AI and data solutions while fostering innovation, collaboration, and continuous professional development.
The organization is seeking an NGA AI Engineer Manager to lead the development of innovative AI solutions that drive meaningful client outcomes. This role involves managing and developing engineering teams, overseeing client service accounts, and ensuring the delivery of high-quality solutions that meet or exceed expectations.
The successful candidate will be expected to build strong client relationships, promote continuous improvement, and leverage emerging technologies to enhance project delivery and business results.
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 team members 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 difficult conversations with clients, team members, and other stakeholders.
- Escalate issues appropriately when necessary.
- 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.
Key Responsibilities
- Manage client accounts and ensure the delivery of exceptional results.
- Build and maintain strong relationships with clients to understand their needs and objectives.
- Analyze complex datasets to derive actionable insights.
- Ensure adherence to quality standards and established practices across project deliverables.
- Lead and coach teams responsible for developing AI and data analytics solutions.
- Foster a collaborative environment that encourages innovation and technical excellence.
- Implement effective project management practices and industry standards.
- Drive continuous improvement initiatives across teams and projects.
- Promote the use of emerging technologies to improve project delivery and client outcomes.
- Ensure production-grade quality gates and monitoring practices are incorporated into solutions.
Required Qualifications
- High school diploma.
- At least 4 years of relevant professional experience.
- Experience working with data, analytics, artificial intelligence, or related technologies.
- Strong leadership, communication, and team management capabilities.
- Experience managing client-facing projects or service accounts.
- Ability to analyze complex datasets and translate findings into actionable insights.
Preferred Qualifications
- Master’s degree in Computer Engineering, Data Processing, Analytics, Data Science, Computer Science, Software Engineering, Artificial Intelligence, Robotics, or a related field.
- Demonstrated ability to lead and develop high-performing technical teams.
- Experience managing client service accounts and delivering successful outcomes.
- Experience fostering collaborative environments focused on innovation.
- Strong analytical and problem-solving skills.
- Experience implementing industry-standard project management practices.
- Proven ability to cultivate strong client relationships and understand business needs.
- Experience driving continuous improvement initiatives within engineering teams.
- Understanding of production-grade quality gates, monitoring, and delivery standards.
Disclaimer
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- No Client Relationship: This company is not a client of SpringCube unless stated.
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