Enterprise AI consultant (RARR Job 6429)

Job Description

We are looking for an experienced Enterprise AI Consultant – Manufacturing to lead AI-driven digital transformation initiatives across manufacturing operations. The ideal candidate will work closely with IT leaders, business stakeholders, and cross-functional teams to identify, design, and implement enterprise AI and Business Intelligence solutions that deliver measurable business value.

Key Responsibilities

• Define and drive enterprise-wide Data & AI architecture and transformation strategy.
• Design and implement scalable cloud-based data and AI platforms.
• Lead large-scale data modernization, OT/IT integration, and digital transformation initiatives.
• Collaborate with manufacturing stakeholders to identify high-value AI and analytics use cases.
• Translate business challenges into AI-driven solutions by working with Data Engineering and Data Science teams.
• Develop and oversee AI Proof of Concepts (PoCs), validate solutions, and support production deployment.
• Integrate manufacturing systems including MES, SCADA, PLCs, Historians, IoT, and enterprise applications.
• Ensure AI solutions align with business objectives, operational workflows, and manufacturing best practices.

Required Skills

• Strong expertise in Enterprise Data & AI Architecture.
• Experience with cloud modernization and scalable platform design.
• Proven leadership in large-scale data modernization and OT/IT transformation.
• Hands-on experience integrating Historians, MES, SCADA, PLCs, IoT, and enterprise systems.
• Good understanding of manufacturing shop floor operations, supply chain, and operational workflows.
• Strong expertise in Snowflake, cloud platforms (AWS/Azure/GCP), AI/ML, and industrial data systems.
• Solid understanding of AI/ML concepts, Generative AI frameworks, and data engineering fundamentals.
• Experience in leading AI PoCs, solution validation, and production deployment.
• Proven track record of delivering enterprise-scale digital transformation programs.

Preferred Qualifications

• Experience working in manufacturing or industrial environments.
• Excellent stakeholder management, communication, and problem-solving skills.
• Ability to lead cross-functional teams and drive AI adoption across the enterprise.