AI Business Consultant - Multi Industry

Overview

As an AI Business Consultant at Kyndryl, you identify strategic AI opportunities that align with client business goals and translate needs into AI-enabled programs. You'll bridge business and technology, shape AI adoption roadmaps, and drive measurable outcomes across operations and customer engagement. You will stay ahead of AI market trends to provide proactive, strategic guidance and help clients harness data-driven innovation. This role offers exposure to multiple industries and high-impact transformation initiatives.

Retribuzione / Benefits

• Be Well programs supporting financial, mental, physical, and social health
• dynamic, hybrid-friendly culture
• certifications with Microsoft, Google, and Amazon
• coaching and hands-on experiences
• personalized development goals
• career-path tools

Responsabilità

• Identify AI-driven opportunities aligned with business strategy across industries
• Translate business needs into AI solutions, use cases, and adoption roadmaps
• Analyze emerging AI trends to generate actionable insights
• Serve as bridge between business stakeholders and technical teams
• Support design and execution of AI-driven transformation initiatives
• Facilitate workshops and stakeholder discussions to drive alignment and adoption
• Ensure delivery of measurable business outcomes through AI initiatives

Requisiti fondamentali

• 4+ years in a consulting environment with a technology focus
• Strong understanding of AI technologies (ML, generative AI, NLP, predictive analytics) and business applications
• Ability to analyze AI trends and translate into practical insights
• Cross-industry business awareness and understanding of sector dynamics
• Experience bridging business stakeholders and technical teams
• Proven project management capabilities with stakeholder coordination and delivery tracking
• Strong analytical mindset for data-driven decision making
• Curiosity and continuous learning attitude toward AI, digital transformation, and innovation
• customer-focused
• growth mindset
• inclusive and collaborative
• AI technologies (machine learning, generative AI, NLP, predictive analytics)
• ability to translate AI capabilities into business value
• data-driven decision making