Inverto | Manager - Digital, Data & AI
Role Overview
Manager in Inverto’s Digital, Data and AI practice, delivering client-facing consulting projects and shaping digital and AI solutions.
Focus areas include procurement and supply chain management, analytics, automation, and AI applications.
Key Skills for This Role
Full Job Posting
Role overview
Manager in Inverto’s Digital, Data and AI practice, delivering client-facing consulting projects and shaping digital and AI solutions.
Focus areas include procurement and supply chain management, analytics, automation, and AI applications.
What you will do
- Lead end-to-end strategic data and AI engagements across procurement and supply chain.
- Oversee data transformation, predictive modeling, automation, and GenAI project workstreams.
- Lead client meetings, steering committees, and workshops; turn technical concepts into clear recommendations.
- Design analytics solutions such as data pipelines, dashboards, predictive models, and AI-enabled tools.
- Analyze complex data and develop business cases for transformation initiatives.
- Develop digital and AI offerings, reusable assets, and scalable solutions.
- Contribute expertise to proposals, pitches, opportunity assessments, and go-to-market narratives.
- Mentor team members, lead project teams, and maintain high-quality delivery.
- Build internal tools, code libraries, benchmarks, and best practices.
- Support recruitment, training, capability building, and development of the practice community.
Required qualifications
- 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.
- Ability to lead client engagements, manage teams, and drive project outcomes.
- Strong experience with data analysis, visualization, and transformation tools such as SQL, Power BI, and Excel; hands-on Python expertise.
- Ability to translate procurement and supply chain business problems into scalable analytics and AI solutions.
- Strong communication and stakeholder management skills and business-fluent written and spoken English.
- Consulting skills including independence, structured thinking, clear communication, and ability to influence.
Preferred experience and capabilities
- A master’s degree is preferred.
- Experience with cloud platforms and/or modern data ecosystems is advantageous.
- Practical exposure to AI and GenAI technologies such as LLMs, APIs, retrieval-based systems, or workflow orchestration tools.
- Entrepreneurial, collaborative, results-oriented approach and interest in innovation and team development.
Travel
- Willingness to travel for client and project needs is required; significant travel to client sites may be necessary.
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