Inverto | Manager - Digital, Data & AI
Role Overview
The Manager role brings data, digital tools, and AI methods into consulting projects to create measurable value in procurement and supply chain.
The role leads client-facing implementation of digital and AI solutions and shapes sourcing strategies and recommendations.
Key Skills for This Role
Full Job Posting
About Inverto
Inverto Riyadh works with global clients on procurement and supply-chain strategy and is backed by BCG.
The team is expanding its Digital, Data & AI capabilities, including a center of excellence focused on digital and AI-based client tools.
Role overview
The Manager role brings data, digital tools, and AI methods into consulting projects to create measurable value in procurement and supply chain.
The role leads client-facing implementation of digital and AI solutions and shapes sourcing strategies and recommendations.
Responsibilities
- Lead end-to-end Data & AI engagements, including analytics and AI projects across procurement and supply-chain use cases.
- Oversee data transformation, predictive modeling, automation, and GenAI workstreams; manage stakeholders, teams, and delivery outcomes.
- Lead senior client meetings, steering committees, and workshops, translating technical concepts into actionable recommendations.
- Design analytical solutions such as data pipelines, dashboards, predictive models, and AI-enabled tools; synthesize complex data into business cases.
- Develop digital and AI offerings, reusable assets, and scalable solutions for procurement and supply chain.
- Contribute to proposals, client pitches, opportunity assessments, and go-to-market narratives.
- Mentor junior colleagues, lead project teams, and guide technical and analytical delivery.
- Build internal tools, code libraries, benchmarks, and best practices.
- Support recruitment, capability building, training, and growth of the Data, Analytics & AI community.
Experience and education
- 5–6+ years of professional experience in data analytics, AI, or digital consulting, with client-facing project delivery experience.
- Bachelor’s degree from an accredited university in a relevant field; a master’s degree is preferred.
- Experience leading client engagements, managing teams, and driving data and analytics project outcomes.
Technical and business skills
- Strong data analysis, visualization, and transformation skills using tools such as SQL, Power BI, and Excel, plus hands-on Python expertise.
- Experience with cloud platforms and/or modern data ecosystems.
- Practical exposure to AI and GenAI technologies such as LLMs, APIs, retrieval-based systems, or workflow orchestration tools.
- Ability to translate procurement and supply-chain business problems into scalable analytics and AI solutions.
- Strong communication and stakeholder management skills; business-fluent written and spoken English.
Travel
- Travel is required according to client and project needs and may be significant, including travel to client sites.
Additional qualities
The posting values structured thinking, independence, clear communication, accountability, influence, collaboration, entrepreneurial spirit, innovation, and team development.
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