Inverto | Manager - Digital, Data & AI
Role Overview
Manager role bringing data, digital tools, and AI methods into client consulting projects, especially in procurement and supply chain management.
The role includes client-facing solution implementation, engagement leadership, team management, and shaping the practice’s offerings.
Key Skills for This Role
Full Job Posting
About Inverto
Inverto is backed by BCG and works with global clients on procurement and supply-chain strategies.
The Riyadh team is expanding its Digital, Data & AI capabilities, including a center of excellence focused on digital and AI-based tools.
Role overview
Manager role bringing data, digital tools, and AI methods into client consulting projects, especially in procurement and supply chain management.
The role includes client-facing solution implementation, engagement leadership, team management, and shaping the practice’s offerings.
What you’ll do
- Lead end-to-end Data & AI engagements and workstreams involving data transformation, predictive modeling, automation, and GenAI.
- Lead senior client meetings, steering committees, and workshops; communicate technical concepts as actionable recommendations.
- Design analytics solutions such as pipelines, dashboards, predictive models, and AI-enabled tools; turn complex data into business cases.
- Develop digital and AI offerings, reusable assets, and scalable solutions; contribute to proposals, pitches, and opportunity assessments.
- Mentor colleagues and lead teams; develop internal tools, code libraries, benchmarks, and best practices.
- Support recruitment, training, capability building, and the growth of the Data, Analytics & AI community.
Experience and education
- 5–6+ years of professional experience in data analytics, AI, or digital consulting, including client-facing project delivery.
- Bachelor’s degree in a relevant field such as Data Science, Engineering, Computer Science, or Economics; Master’s preferred.
- Demonstrated ability to lead client engagements, manage teams, and deliver outcomes in data and analytics.
Technical and professional skills
- Strong experience with data analysis, visualization, and transformation tools such as SQL, Power BI, and Excel; hands-on Python expertise for analytics, automation, or AI workflows.
- Experience with cloud platforms and/or modern data ecosystems is listed as a qualification.
- Practical exposure to AI and GenAI technologies such as LLMs, APIs, retrieval-based systems, or workflow orchestration tools is listed as a qualification.
- Ability to translate procurement and supply-chain business problems into scalable analytics and AI solutions; strong communication and stakeholder management skills.
Travel and language
- Willingness to travel based on client and project needs; significant client-site travel may be required depending on the engagement.
- Business-fluent written and spoken English is required.
Team environment
The team works with colleagues specializing in procurement, technology sourcing, and related fields, and emphasizes collaboration, growth, and value creation.
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