Inverto | Manager - Digital, Data & AI
Role Overview
The manager brings data, digital tools, and AI methods into consulting projects to create measurable procurement and supply chain value.
The role leads client-facing implementation and delivery of digital and AI solutions.
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 company has invested in digital and AI-based client tools, including a Digital, Data & AI center of excellence.
Role overview
The manager brings data, digital tools, and AI methods into consulting projects to create measurable procurement and supply chain value.
The role leads client-facing implementation and delivery of digital and AI solutions.
Responsibilities
- Lead end-to-end data and AI engagements, including analytics, data transformation, predictive modeling, automation, and GenAI.
- Lead senior client meetings, steering committees, and workshops; turn complex concepts into actionable recommendations.
- Design analytical solutions such as data pipelines, dashboards, predictive models, and AI-enabled tools; synthesize data into business cases.
- Develop digital and AI offerings, reusable assets, and scalable procurement and supply chain solutions.
- Contribute to proposals, client pitches, opportunity assessments, and go-to-market narratives.
- Mentor junior colleagues, lead project teams, guide technical approaches, and maintain high-quality delivery.
- Build internal tools, code libraries, benchmarks, and best practices; support recruitment, training, and capability building.
Qualifications and experience
- 5–6+ years in data analytics, AI, or digital consulting, including successful client-facing project delivery.
- Bachelor’s degree in a relevant field; a master’s degree is preferred.
- Experience leading client engagements and teams and driving project outcomes.
- Strong experience with SQL, Power BI, Excel, and hands-on Python; 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 develop scalable solutions for business problems, particularly in procurement and supply chain.
- Strong communication and stakeholder management; business-fluent written and spoken English.
- Willingness to travel for client work, including significant client-site travel at times.
- Independent, structured, collaborative, accountable, and comfortable influencing stakeholders.
Travel
- Travel depends on client and project needs and may be significant at times.
Team
Works with colleagues experienced in procurement, technology sourcing, and related fields in a collaborative, growth-oriented practice.
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