Robert Half is hiring! We are looking for a skilled Data/Information Architect to drive the implementation of AI solutions within the manufacturing industry. This role focuses on optimizing processes, enhancing equipment monitoring, and automating repetitive tasks through innovative data-driven approaches. Apply today!

Responsibilities:

• Lead the development and execution of AI initiatives aimed at improving manufacturing efficiency through predictive analytics and advanced data modeling.

• Create and implement tools for accessing operating manuals, work instructions, and technical documentation.

• Develop systems for detecting machine anomalies and monitoring equipment health to ensure operational reliability.

• Automate repetitive clerical and computer-based tasks using AI-powered solutions.

• Collaborate with stakeholders to translate business objectives into actionable AI use cases and solution designs.

• Design and validate workflows, models, and system architectures to support AI implementations.

• Coordinate with cross-functional teams, including data engineers, software vendors, and plant personnel, to ensure project success.

• Oversee project timelines, proof-of-concept trials, and production rollouts, ensuring adherence to schedules and quality standards.

• Monitor performance of implemented AI systems and ensure they deliver measurable value.

• Provide training, documentation, and ongoing support to end-users for seamless adoption of AI tools.

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related discipline; Master’s degree preferred.
• Minimum of 3 years of experience in delivering AI, machine learning, or industrial automation projects.
• Proficiency in Python and experience with cloud platforms such as Azure.
• Familiarity with manufacturing systems, including historian databases and industrial data platforms.
• Strong understanding of artificial intelligence and machine learning frameworks.
• Excellent project management skills with the ability to coordinate across diverse teams.
• Effective communication skills to engage with technical and non-technical stakeholders.
• Experience in working with Microsoft SQL and other data-related technologies.