Conseiller(ère) en IA industrielle

Accountabilities

• Lead AI discovery sessions with executives and operational teams to identify business challenges, processes, data opportunities, and relevant technology use cases.

• Assess and prioritize AI opportunities based on business value, technical feasibility, organizational readiness, and expected outcomes.

• Develop business cases and value propositions that help clients evaluate and prioritize AI investments.

• Advise clients on generative AI, agentic AI, copilots, predictive AI, and intelligent automation, including identifying situations where AI may not be the appropriate solution.

• Translate client requirements into practical AI solution concepts in collaboration with architects, product leaders, and delivery teams.

• Evaluate how AI solutions integrate with enterprise data, workflows, applications, APIs, identity and access management, business rules, and human decision-making processes.

• Build and develop a qualified pipeline of AI opportunities in collaboration with account teams, prospective customers, and technology partners.

• Establish trusted relationships with senior client stakeholders and support opportunity development through expertise-led consulting.

• Contribute to industry thought leadership through customer stories, events, roundtables, and perspectives on emerging industry challenges and opportunities.

• Remain engaged from initial discovery through deployment and adoption, connecting solutions to measurable business results and identifying opportunities for further expansion.

• Share customer and industry insights internally to help shape AI solutions, accelerators, and future service offerings.

Requirements

• Significant expertise in at least one priority industry, with a strong understanding of its business processes, economics, operational challenges, and market environment.

• Professional experience in either manufacturing or retail is required.

• Hands-on enterprise AI experience across areas such as generative AI, agentic AI, AI solution design, AI and data governance, automation, enterprise systems integration, production deployment, and AI adoption.

• Strong understanding of enterprise processes, applications, ERP systems, transactional systems, master data, workflows, APIs, permissions, and business rules.

• Demonstrated consulting experience with clients, including executive discovery, solution development, business-case creation, and commercial opportunity development.

• Ability to influence and develop business opportunities through subject-matter expertise and credibility rather than traditional sales techniques.

• Strong understanding of how emerging AI capabilities can be connected to practical business objectives and measurable outcomes.

• Excellent communication, presentation, facilitation, and relationship-building skills.

• Ability to work effectively with executives, operational stakeholders, technical architects, product teams, delivery teams, and technology partners.

• Commercial awareness and the ability to identify, qualify, and develop strategic AI opportunities.

Benefits

• Competitive compensation positioned above average market levels.

• Flexible work models and remote-work opportunities.

• Potential flexibility to work internationally from time to time.

• Attractive benefits, including company retirement plans and healthcare-related programs.

• Modern working environment with opportunities to contribute to innovative technology initiatives.

• Open feedback culture and relatively flat organizational structures.

• Collaborative and motivated team environment.

• Individual career planning with ongoing training, professional development, and coaching.

• Exposure to innovative enterprise AI, cloud, ERP, automation, and digital transformation initiatives.