Inverto | Manager - Digital, Data & AI

About Inverto

Role overview

Responsibilities

• Lead end-to-end advanced analytics and AI engagements across procurement and supply chain, overseeing data transformation, predictive modeling, automation, and GenAI workstreams.
• Manage stakeholder environments and delivery teams, ensuring project outcomes align with client objectives.
• Lead senior client meetings, steering committees, and workshops; translate technical concepts into clear recommendations.
• Design analytical solutions including data pipelines, dashboards, predictive models, and AI-enabled tools; synthesize complex data and build business cases.
• Develop digital and AI offerings, reusable assets, and scalable solutions using emerging technologies.
• Contribute subject-matter expertise to proposals, pitches, opportunity assessments, and go-to-market narratives.
• Mentor junior team members, lead project teams, guide technical approaches, and maintain delivery quality.
• Create and refine internal tools, code libraries, benchmarks, and best practices; support community recruitment, training, and capability building.

Qualifications and experience

• 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; a master’s degree is preferred.
• Demonstrated ability to lead client engagements, manage teams, and drive project outcomes.
• Strong data analysis, visualization, and transformation skills, including 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 is sought.
• Ability to turn procurement and supply chain business problems into scalable analytics and AI solutions.
• Strong communication and stakeholder management skills; business-fluent written and spoken English.
• Entrepreneurial, collaborative, accountable approach with structured thinking and a willingness to travel, including significant client-site travel when needed.

Relevant expertise

• Data analytics, AI, digital consulting, data transformation, predictive modeling, automation, and GenAI.
• SQL, Power BI, Excel, Python, cloud platforms, and modern data ecosystems.

Team