Kearney Manager, Digital Operations, Supply Chain Design & Optimization

About the role

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.

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

• 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, AnyLogic, 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.

Qualifications

• 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, AnyLogic, 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.

Skills

• 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, AnyLogic, 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.

Benefits

• Generous retirement/pension savings contributions
• Comprehensive medical insurance for employees and their families
• Healthcare concierge
• Backup child/adult care
• Annual employer HSA contribution
• Home office stipend
• Subsidized Gympass and annual wellness program

Pay

Manager base salary - $212,000 - $235,000

Schedule

Full-time