AI & Robotics Business Partner

UNIS; United States; Remote; USD 100,000 - 125,000; Full time

Job description

AI & Robotics Business Partner

Work Location: Nigeria, 100% Remote.

Unis a third-party logistics company in the United States seeks qualified AI & Robotics Business Partner candidates to work remotely.

The AI & Robotics Business Partner is responsible for leveraging artificial intelligence and robotics technologies to drive business transformation across various sectors. This role involves collaborating with cross-functional teams to identify opportunities for AI and robotics integration, develop strategic initiatives, and ensure successful implementation of solutions that enhance operational efficiency and drive growth.

Key Responsibilities

Identify and analyze business needs that can be addressed through AI and robotics.

Develop strategic roadmaps for the integration of AI technologies in business processes.

Collaborate with technical teams to design and implement AI and robotics solutions.

Provide insights and recommendations based on data analysis to stakeholders.

Manage projects from inception through execution and delivery, ensuring alignment with business objectives.

Train and educate team members and stakeholders on AI and robotics technologies.

Serve as a liaison between technical and non-technical teams to facilitate effective communication.

Requirements

Bachelor's degree in computer science, Engineering, or related field.

3+ years of experience in AI, robotics, or related technologies.

Proven track record in business strategy development and execution.

Experience working in a cross-functional team environment.

Knowledge of machine learning algorithms and robotics frameworks

Skills

Strong understanding of AI and robotics technologies.

Excellent analytical and problem-solving skills.

Ability to develop and communicate a strategic vision.

Strong project management capabilities.

Effective communication and interpersonal skills.

Experience in stakeholder engagement and relationship management.

Proficiency in data analysis and visualization tools.

Familiarity with process automation and optimization techniques.