Senior Manager, AI & Data Strategy (Digital & Analytics)

Jobtome; La Grange Park (IL); On-site; USD 200,000 - 210,000; Full time

Job summary

Inverto North America, part of the BCG network, is seeking a Manager/Senior Manager in Digital, Data & AI to translate insights into strategic actions across procurement and supply chain.

You’ll lead client engagements, shape analytics solutions from data pipelines to AI tools, mentor teams, and contribute to new offerings. Travel to client sites will be required based on project needs.

Qualifications

• 5-6+ years of professional experience in data analytics, AI, or digital consulting.
• Bachelor’s degree; Master’s preferred in data science, engineering, or similar fields.
• Proven ability to lead client engagements and drive project outcomes.
• Strong experience with data analysis, visualization, and transformation tools; Python for analytics.
• Experience with cloud platforms (Azure) and modern data ecosystems.
• Business-fluent written and spoken English; willingness to travel.
• Entrepreneurial, collaborative mindset with client-influencing skills.

Responsibilities

• Lead end-to-end Data & AI engagements across procurement and supply chain.
• Prepare and lead senior client meetings, steering committees, and workshops.
• Design analytical solutions from data pipelines to AI-enabled tools.
• Shape the evolution of Data Analytics & AI offerings and assets.
• Support business development with proposals and client pitches.
• Mentor junior team members and maintain knowledge assets.
• Travel to client sites as needed.

Skills

Data analytics

AI

Digital consulting

Stakeholder management

Client engagement

Python for analytics

SQL

Power BI

Education

Bachelor’s degree

Master’s preferred

Tools

SQL

Power BI

Excel

Python

Azure

Job description

Inverto North America, part of the BCG network, is seeking a Manager/Senior Manager in Digital, Data & AI to translate insights into strategic actions across procurement and supply chain.

You’ll lead client engagements, shape analytics solutions from data pipelines to AI tools, mentor teams, and contribute to new offerings. Travel to client sites will be required based on project needs.