Kearney Associate, Digital Operations, Supply Chain Design & Optimization

Experteer Overview
As an Associate in Kearney’s Digital & Analytics practice, you help transform supply chains through data-driven design and optimization. You’ll join the Digital Operations team to deliver high-impact engagements across industries, shaping capabilities at the intersection of strategy, analytics, and digital transformation. You will work with clients to translate priorities into a
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nalytical models and practical tools, enabling measurable value. This role offers exposure to cutting-edge IP and a fast-growing practice in a global firm.
Compensation / Benefits
• Collaborate on end-to-end supply chain network design & optimization projects using tools like Optano, Coupa SC Guru, AIMMS SC Navigator, Python and Gurobi
• Contribute to client engagements, ensure delivery quality, manage workstreams, and cultivate trusted advisor relationships
• Translate executive priorities into analytical models and digital tools supporting decision-making across plan, make, and deliver functions
• Work with large datasets and enterprise systems (e.g., SAP, Oracle, JDA) and advanced planning systems (e.g., Kinaxis, o9) to enable digital transformation in operations
• Support business development by helping develop client proposals and shape proprietary offerings
• Drive innovation by developing new IP, reusable assets, and thought leadership in optimization, simulation, ML/AI, scenario planning, and digital twin technology
Tasks
• MBA (preferred) and 5-10 years of professional experience in management consulting or Fortune 500 environment
• Deep understanding of end-to-end supply chain processes (source, plan, make, deliver) and experience leading 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)
• Digital fluency and ability to integrate data, tools, and analytics into large-scale operational transformations
• Proven leadership and collaboration across cross-functional teams and with clients
• Structured thinker capable of navigating ambiguity and delivering actionable solutions
• Master’s degree in Industrial Engineering, Operations Research, Analytics, Applied Math, or related field; MBA preferred
• Willingness to relocate or travel (approx. 50-80%); security clearance a plus
Key requirements
• Learning and development opportunities
• Retirement/pension contributions
• Comprehensive medical insurance for families
• Equity-based awards for consulting managers and above
• Talent mobility and flexible work programs
• 401(k) match and profit sharing

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