Kearney Manager, Digital Operations, Supply Chain Design & Optimization

Kearney is a global management consulting firm with a Digital & Analytics practice. The Manager will lead supply chain design and optimization engagements, applying data science, optimization, and simulation to help clients transform operations. The role also involves managing client relationships, mentoring consultants, supporting business development, and developing digital operations capabilities.

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:

• 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
• Eager to build, scale, and influence a high-growth capability within a global firm
• This role requires approximately 50-80% travel, based on client and business needs
• MBA preferred