Senior Consultant – Agentic Operations

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Arbi Arredobagno

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1987

👥 B2C

🛒 Retail

🏭 Manufacturing

B2C • Retail • Manufacturing

Arbi Arredobagno is a leading Italian company specializing in bathroom furniture design and manufacturing. With over thirty years of experience, Arbi stands out for its innovative approach, blending cutting-edge technology with elegant design. The company offers a wide range of bathroom products, including cabinets, washbasins, showers, and accessories, all crafted with a focus on quality and customer satisfaction. Arbi collaborates with renowned designers to create stylish and functional bathroom solutions that cater to various preferences. Emphasizing the importance of Made in Italy craftsmanship, Arbi continues to solidify its reputation as an industry leader in bathroom furnishings.

📋 Description

• Complete in-depth analysis of current state to identify transformation opportunities across organizational design, technology architecture, and agentic transformation. • Develop detailed financial models to prioritize opportunities and support decision-making/roadmap development. • Translate business challenges into scalable AI-enabled solutions and agentic workflows. • Lead pilots and implementations, partnering with technology teams, vendors, and stakeholders to deliver measurable business outcomes. • Support design and implementation of change management, training, and stakeholder engagement to ensure successful adoption. • Support establishment of governance, measure value realization, and shape future service offerings.

🎯 Requirements

• 3-7 years of experience in management/operations consulting, technology consulting, agentic transformation, or related fields. • Strong business case development, modeling, and stakeholder management skills. • Excellent communication, facilitation, and problem-solving abilities. • Team player driven by business value creation who engages across organizational design, technical architecture, and agentic AI implementation. • Familiarity with middle-back office tech stack and architecture standards. • Experience with AI, automation, or enterprise technology implementations. • Familiarity with generative AI, LLMs, agentic systems, workflow automation, and knowledge management platforms. • Experience evaluating and implementing SaaS and enterprise technology solutions.