Implementation Specialist - Advanced Planning Systems - SCM Connections

McKinsey & Company; Chicago (IL); On-site; USD 140,000 - 144,200; Full time

Job summary

McKinsey & Company seeks a seasoned analytics professional to design and implement advanced digital planning solutions, focusing on APS and SAP IBP deployments.

You will lead lifecycle delivery from design to validation, build complex datasets, configure APS platforms, and collaborate with architects and internal product teams to shape future roadmaps. Strong communication in English is required. The role is based in the US with global opportunities and competitive benefits.

Qualifications

• Graduate or postgraduate degree in science, engineering, mathematics, business, MBA, or a master’s degree in supply‑chain optimization, operations research, or industrial engineering.
• 5+ years of experience in supply‑chain or related field.
• SAP IBP implementation experience required.
• Good understanding of demand planning, inventory optimization, supply‑chain planning or operational supply‑chain fundamentals.
• Familiarity with supply‑chain data and data systems such as ERP, TMS, WMS.
• Familiarity with data extraction, transformation, analytics, and visualization tools.
• Exposure to advanced optimization techniques such as mixed‑integer linear programming, statistical analyses, and machine learning.
• Good written and verbal communication skills in English are required; bilingual (Spanish/English) skills are preferred.

Responsibilities

• You will spend a significant part of your time working with McKinsey clients to design and implement advanced digital planning solutions.
• You will participate in the complete lifecycle of a project from design to delivery of APS solutions for clients across industries and geographies, specializing in SAP IBP software implementations, advanced planning analytics, and ML solutions.
• You will work with solution architects to develop clear functional and technical design, document data requirements and build complex datasets, and configure the APS platform based on the blueprint laid out during design to solve deep operations and supply‑chain problems.
• You will work with McKinsey’s internal product teams as well as third‑party planning solution providers to shape future solution roadmaps based on client pain points and business requirements.

Skills

5+ years experience

SAP IBP implementation

Demand planning

ERP/TMS/WMS familiarity

Data extraction/ETL/analytics/visuals

Optimization techniques (MILP/ML)

English communications

Spanish/English optional

Education

Graduate or postgraduate degree in science/engineering/mathematics/business/MBA or related

Tools

SAP IBP

ERP

TMS

WMS

Data visualization tools

Job description

YOUR IMPACT

• You will spend a significant part of your time working with McKinsey clients to design and implement advanced digital planning solutions.
• You will participate in the complete lifecycle of a project from design to delivery of Advanced Planning Systems (APS) solutions for clients across industries and geographies, specializing in SAP IBP software implementations, advanced planning analytics, and machine learning solutions.
• You will work closely with solution architects to develop clear functional and technical design, document data requirements and build complex datasets, and configure the APS platform based on the blueprint laid out during design to solve deep operations and supply‑chain problems. You will also create and execute workflow and data analytics test cases and document issues and track progress of issue resolution.
• You will work with McKinsey’s internal product teams as well as third‑party planning solution providers to shape future solution roadmaps based on client pain points and business requirements.
• You will be based in our Atlanta, Boston, Chicago, Dallas, or Washington, DC office, and work as part of MSC‑X, the analytics wing of McKinsey & Company’s Manufacturing and Supply Chain practice, directly with project teams and clients across regions and sectors on complex supply‑chain planning problems.

YOUR GROWTH

Driving lasting impact and building long‑term capabilities with our clients is not easy work. You thrive in a high‑performance/high‑reward culture—doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we provide the resources, mentorship, and opportunities to become a stronger leader faster than ever before. Our colleagues at all levels invest deeply in your development, delivering exceptional client results and giving you apprenticeship, coaching, and exposure that accelerate your growth.

When you join us, you will have the following:

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, helps you grow while creating an environment where feedback is clear, actionable, and focused on your development. You’ll embrace the fast‑paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. Diverse perspectives are critical to driving us toward the best outcomes.
• Global community: Colleagues across 65+ countries and over 100 different nationalities fuel creativity and help us deliver the best solutions. You’ll learn from exceptional colleagues with diverse backgrounds and experiences.
• World‑class benefits: Together with a competitive salary based on your location, experience, and skills, we provide a comprehensive benefits package to support your well‑being and that of your family.

YOUR QUALIFICATIONS AND SKILLS

• Graduate or postgraduate degree in science, engineering, mathematics, business, MBA, or a master’s degree in supply‑chain optimization, operations research, or industrial engineering.
• 5+ years of experience in supply‑chain or related field.
• SAP IBP implementation experience required.
• Good understanding of demand planning, inventory optimization, supply‑chain planning or operational supply‑chain fundamentals.
• Familiarity with supply‑chain data and data systems such as ERP, TMS, WMS.
• Familiarity with data extraction, transformation, analytics, and visualization tools.
• Exposure to advanced optimization techniques such as mixed‑integer linear programming, statistical analyses, and machine learning.
• Good written and verbal communication skills in English are required; bilingual (Spanish/English) skills are preferred.

INDUSTRIES & CAPABILITIES

• Operations

Benefits and Salary

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 U.S. jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. The salary range for new joiners in this role in the United States, including all office locations where the job may be performed, is $140,000–$144,200 USD gross per year. This reflects the best estimate of the lowest to highest figure for this role at the time of posting, ensuring a clear picture from the start. Factors such as your office location, experience, and skills, start date, and current organizational needs may affect the final figure. Some roles are eligible for bonuses, subject to McKinsey’s discretion and based on performance.

Additionally, we provide a comprehensive benefits package that includes medical, mental health, dental, and vision coverage, telemedicine services, life, accident, and disability insurance, parental leave and family planning benefits, caregiving resources, generous retirement contributions, 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.