Manager, Digital Operations, Supply Chain Design & Optimization
Job Description
As a Manager within Kearney’s Digital & Analytics (D&A) practice, you will be a core leader in our Digital Operations team, specializing in Supply Chain Design & Optimization
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In this role, you will help global organizations reimagine and optimize their supply chains using data science, optimization and simulation platforms. You will work with clients across industries to solve complex operational challenges, lead high-impact consulting engagements, and mentor teams in delivering measurable value.
This is an exciting opportunity to contribute to one of Kearney’s fastest-growing capabilities at the intersection of strategy, operations, data science, and digital transformation.
Key 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.
Who You Are
Experienced: 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.
Functionally grounded: 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.
Technically strong: Hands-on experience with data science, optimization, simulation, and visualization tools (e.g., Coupa, AIMMS, Gurobi, Any Logic, Tableau, Python, R, SQL).
Digitally fluent: Understands how to integrate data, tools, and analytics into large-scale operational transformations.
Leader and collaborator: You thrive in managing cross-functional teams and partnering closely with clients at every stage of the journey.
Structured thinker: Can navigate ambiguity, break down complex problems, and create clear, actionable solutions.
Academically accomplished: Master’s degree in Industrial Engineering, Operations Research, Analytics, Applied Math, or a related field. MBA preferred.
Curious and entrepreneurial: Eager to build, scale, and influence a high-growth capability within a global firm.
What We Can Offer You
Every day, our people work to be the difference for our clients, our communities, and our colleagues. Helping them make an impact, they are sustained by a competitive remuneration package plus comprehensive benefits and perks, including but not limited to:
Structured and on-the-job learning and development opportunities
Generous retirement/pension savings contributions
Comprehensive medical insurance for employees and their families
Non-partner equity-based awards (for consulting managers and above)
Personalized opportunities including talent mobility, flexible work programs, and externships to help you chart a unique career journey to pursue your own personal and professional goals
Manager compensation - $212,000 - $235,000
It is important to note that at Kearney, it is not typical for an individual to be hired at the top of the range for their role. Individual salaries within…
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