You will work directly with our clients and McKinsey colleagues to deploy our assets and ensure we bring tangible, lasting impact to clients. You will have a mix of remote and on-site work depending on the nature of client engagement.

What You'll Do

In this role, part of your time (30-40%) will include co-leading the Deliver Hub - a global team of data scientists specializing in logistics. The Deliver Hub works with McKinsey consulting teams and clients to deliver best in class functional expertise and tech enablement in logistics by leveraging a suite of internal and 3rd party tools, proprietary analytics, and benchmarking database that accelerates diagnostics and transformations.

You will spend a significant part (60-70%) of your time working on client engagements helping solve complex client problems in logistics (Transportation, network design/optimization and warehousing). You will guide supply chain related analytical work, which would include among others, usage of statistical techniques and operations research for data analysis.

As co-lead of the Deliver Hub, your responsibilities will include supporting/guiding the team in their ongoing engagements and managing/standardizing processes to improve efficiency of the team (e.g. standardize operating model/knowledge etc.).

Qualifications

Advanced degree in operations management, statistics, or industrial engineering, with a strong quantitative underpinning and an outstanding academic record
7+ years of relevant experience in a consulting / analytics firm; background in solving complex logistics, supply chain network problems in the CPG, Automotive, Electronics or Metals & Mining industries
Demonstrated record of delivering impact through industry knowledge, tools and modeling technique
Experience in transportation, warehousing and network modeling / design
Expert level skills in Excel; Mid / expert level skills in Tableau / Power BI and ETL tools (e.g., Alteryx/ KNIME)
Experience in end-to-end supply chain network modelling with one or more industry standard tools (e.g., Coupa / LLamasoft SC Guru, IBM LogicNet Plus, AIMMS, Riverlogic etc.)
Experience in Transport Management Solutions and Digital Logistics Control Tower modules of advanced supply chain solutions
Exposure to transport and warehouse clean sheet
Specific exposure to multiple aspects of network optimization like scenario design, 3PL logistics market, automation technologies, demand and inventory planning, production scheduling, supply chain organization structure and supply chain IT etc.
Ability to lead a team of analysts to solve multiple supply chain network & planning problems
Excellent problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions
Ability to work under pressure and deliver on tight deadlines
Additionally, the ability to work collaboratively in a team environment, interact effectively with members from all levels in McKinsey and client organizations, with skills to communicate complex ideas effectively
Must be open to 50% Travel

Industries

Automotive & Assembly
Consumer Packaged Goods
Electric Power & Natural Gas
High Tech
Industrials & Electronics
Infrastructure
Metals & Mining
Oil & Gas
Semiconductors
Travel, Transport & Logistics

+ 9 More

Capabilities

Operations
Technology

+ 1 More

Apply Now Apply Later

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary or hourly range for this role. For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range is $165,200 - $170,000 —to help you understand what you can expect. This reflects our best estimate of the lowest to highest [salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion and based on factors such as individual and/or organizational performance.

Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

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Job Skill Group - CSS Associate
Job Skill Code - KE - Knowledge Expert
Function - Operations;Technology
Industry - Automotive & Assembly;Consumer Packaged Goods;Electric Power & Natural Gas;High Tech;Industrials & Electronics;Infrastructure;Metals & Mining;Oil & Gas;Semiconductors;Travel, Transport & Logistics
Post to LinkedIn - Yes
Posted to LinkedIn Date - Wed Jul 24 00:00:00 GMT 2024
LinkedIn Posting City - Atlanta
LinkedIn Posting State/Province - Georgia
LinkedIn Posting Country - United States
LinkedIn Job Title - Logistics Knowledge Expert
LinkedIn Function - Consulting;Strategy / Planning;Supply Chain
LinkedIn Industry - Automotive;Consumer Goods;Industrial Automation
LinkedIn Seniority Level - Director

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