Inverto | Manager - Digital, Data & AI

About Inverto

Role overview

Client delivery and analytics

• Lead Data & AI engagements across procurement and supply chain, including data transformation, predictive modeling, automation, and GenAI applications.
• Manage stakeholders and delivery teams, ensuring outcomes align with client objectives.
• Lead senior client meetings, steering committees, and workshops; turn complex technical concepts into clear recommendations.
• Design and execute data pipelines, dashboards, predictive models, and AI-enabled tools.
• Analyze large, complex datasets and build data-backed business cases for transformation initiatives.

Practice development and leadership

• Develop digital and AI offerings, reusable assets, and scalable solutions, including applications of emerging technologies in procurement and supply chain.
• Contribute expertise to proposals, client pitches, opportunity assessments, and tailored go-to-market narratives.
• Mentor and coach junior colleagues, lead project teams, and guide technical and analytical approaches to maintain delivery quality.
• Create and refine internal tools, code libraries, benchmarks, and best practices.
• Support recruitment, capability building, training, 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, with a strong record of client-facing project delivery.
• Bachelor's degree from an accredited university in a relevant field such as Data Science, Engineering, Computer Science, or Economics; a master's degree is preferred.
• Proven ability to lead client engagements, manage teams, and deliver outcomes in data and analytics contexts.

Technical skills

• Experience with data analysis, visualization, and transformation tools such as SQL, Power BI, and Excel, and hands-on Python expertise for analytics, automation, or AI workflows.
• Experience with cloud platforms and/or modern data ecosystems is requested.
• Practical exposure to AI and GenAI applications is requested; examples include LLMs, APIs, retrieval-based systems, and workflow orchestration tools.

Professional capabilities

• Able to translate complex business problems, particularly in procurement and supply chain, into scalable analytics and AI solutions.
• Strong communication and stakeholder management skills, with the ability to bridge technical and business audiences.
• Business-fluent written and spoken English.
• Consulting mindset, independence, structured thinking, clear communication, and confidence influencing clients and stakeholders.
• Results-oriented, proactive, accountable, entrepreneurial, and collaborative approach with an interest in innovation and team development.

Travel

• Willingness to travel according to client and project needs; some assignments may require significant travel to client sites.