Kearney Manager, Digital Operations, Supply Chain Design & Optimization

Kearney is a leading consulting firm, and they are seeking a Manager within their Digital & Analytics practice to lead the Digital Operations team specializing in Supply Chain Design & Optimization. In this role, you will help global organizations optimize their supply chains using data science and digital tools, while managing client engagements and mentoring junior consultants.

Responsibilities:

• Lead end-to-end supply chain design & optimization projects using tools like Kearney's Optano, Coupa SC Guru, AIMMS SC Navigator, Python and Gurobi to design resilient, cost-effective networks
• Serve as the day-to-day leader on client engagements—overseeing delivery quality, managing workstreams, and fostering trusted advisor relationships
• Translate executive priorities into analytical models and digital tools that support decision-making across deliver, make, and plan functions
• Work with large datasets, enterprise systems (e.g., SAP, Oracle, JDA), advanced planning systems (e.g., Kinaxis, o9) and cloud analytics platforms to enable digital transformation in operations
• Coach and mentor junior consultants; actively contribute to the development of Kearney’s digital operations capabilities and talent
• Collaborate with practice leadership to develop client proposals, participate in business development, and shape proprietary offerings
• Help drive innovation in the firm’s supply chain approach—developing new IP, reusable assets, and thought leadership in areas such as optimization, simulation, ML/AI, scenario planning, and digital twin technology

Requirements:

• 5–8 years in consulting or data science / analytics roles, ideally within a top-tier firm or digital-focused organization
• Experience working as a management consultant is required
• Deep understanding of end-to-end supply chain processes (source, plan, make, deliver), with experience in driving transformation programs across industries such as consumer goods, healthcare, retail, and industrials
• Hands-on experience with data science, optimization, simulation, and visualization tools (e.g., Coupa, AIMMS, Gurobi, AnyLogic, Tableau, Python, R, SQL)
• Understands how to integrate data, tools, and analytics into large-scale operational transformations
• You thrive in managing cross-functional teams and partnering closely with clients at every stage of the journey
• Can navigate ambiguity, break down complex problems, and create clear, actionable solutions
• Master's degree in Industrial Engineering, Operations Research, Analytics, Applied Math, or a related field
• MBA preferred
• Eager to build, scale, and influence a high-growth capability within a global firm