AI Manager Full Time NEW

The AI Manager is responsible for leading the organization’s artificial intelligence strategy, managing AI programs, and driving the adoption of AI technologies to improve business performance, innovation, and operational efficiency. This role combines strategic leadership, technical knowledge, and business understanding to deliver AI solutions that create measurable value.

The position involves identifying opportunities to leverage artificial intelligence, machine learning, generative AI, and automation technologies across various business functions. The AI Manager works closely with executives and department leaders to align AI initiatives with organizational objectives and long-term growth strategies.

A key responsibility includes developing and executing the AI roadmap, prioritizing projects, allocating resources, and ensuring the successful delivery of AI initiatives. The role oversees the complete AI lifecycle, including data preparation, model development, implementation, monitoring, and optimization.

The AI Manager also leads cross-functional teams consisting of data scientists, machine learning engineers, software developers, business analysts, and stakeholders. The role provides technical guidance while ensuring that AI solutions address real business challenges.

In addition, the position is responsible for establishing AI governance frameworks, ethical AI standards, data quality controls, and regulatory compliance practices. The AI Manager ensures that AI systems are transparent, secure, responsible, and aligned with organizational policies.

The role may also oversee AI vendors, evaluate emerging technologies, manage automation initiatives, and support digital transformation programs. Strong leadership, innovation, and strategic thinking are essential for driving AI adoption across the organization.

The AI Manager collaborates with departments such as operations, finance, marketing, human resources, customer service, and technology to integrate AI capabilities into business processes. The role plays a critical part in improving decision-making, increasing productivity, and creating competitive advantages through artificial intelligence.

Qualifications

• Strong knowledge of artificial intelligence, machine learning, and generative AI technologies.
• Experience leading AI, data analytics, or digital transformation initiatives.
• Understanding of machine learning models, AI frameworks, and automation solutions.
• Strong leadership and project management abilities.
• Ability to translate business requirements into AI strategies and solutions.
• Experience working with data scientists, engineers, and cross-functional teams.
• Knowledge of AI governance, ethics, and responsible AI practices.
• Strong analytical, problem-solving, and decision-making skills.
• Familiarity with cloud platforms, data infrastructure, and AI tools.
• Excellent communication and stakeholder management abilities.
• Ability to manage multiple strategic initiatives simultaneously.
• Understanding of data privacy, cybersecurity, and compliance requirements.
• Strong strategic thinking and innovation capabilities.
• Commitment to continuous learning and emerging technology trends.
• Ability to drive organizational change and support digital transformation initiatives.