Inverto | Manager - Digital, Data & AI
Role Overview
The Manager leads client-facing Digital, Data & AI engagements and implements digital and AI solutions in real-world contexts.
The role shapes sourcing strategies and recommendations, and delivers measurable value in procurement and supply chain management.
Key Skills for This Role
Full Job Posting
About Inverto
Inverto Riyadh is growing its Digital, Data & AI expertise and applies digital and AI-based tools to client work in procurement and supply chain.
The team is backed by BCG and works with clients globally.
Role overview
The Manager leads client-facing Digital, Data & AI engagements and implements digital and AI solutions in real-world contexts.
The role shapes sourcing strategies and recommendations, and delivers measurable value in procurement and supply chain management.
Client delivery and analytics
- Lead end-to-end data and AI engagements, including data transformation, predictive modeling, automation, and GenAI workstreams.
- Lead client meetings, steering committees, and workshops; convert complex concepts into actionable recommendations.
- Design data pipelines, dashboards, predictive models, and AI-enabled tools; develop data-backed business cases.
- Manage stakeholders and delivery teams to achieve client objectives.
Practice development and leadership
- 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 teams, and support quality delivery.
- Build internal tools, code libraries, benchmarks, and best practices; support recruitment, training, and capability development.
Experience and education
- 5–6+ years of data analytics, AI, or digital consulting experience, including client-facing delivery.
- Bachelor’s degree in a relevant field such as Data Science, Engineering, Computer Science, or Economics; a Master’s is preferred.
- Experience leading client engagements, managing teams, and driving outcomes in data and analytics.
Technical and consulting skills
- Experience with analysis, visualization, and transformation tools such as SQL, Power BI, or Excel, and hands-on Python for analytics, automation, or AI.
- Experience with cloud platforms and/or modern data ecosystems; practical exposure to AI and GenAI such as LLMs, APIs, retrieval-based systems, or workflow orchestration.
- Ability to translate procurement and supply chain problems into scalable analytics and AI solutions.
- Strong communication and stakeholder management skills; business-fluent written and spoken English.
- Consulting mindset, structured thinking, ownership, accountability, collaboration, and ability to influence stakeholders.
Travel
- Willingness to travel to client sites and Inverto teams; travel may be significant and depends on client needs and project nature.
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