Implementation Specialist - Advanced Planning Systems - SCM Connections

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

Benefits offered by this job

Medical coverage

Dental and vision

Retirement plan

Paid time off

Parental leave

Job summary

McKinsey & Company is seeking a seasoned supply chain analytics professional to design and deliver Advanced Planning Solutions (APS) for clients in multiple industries. The role emphasizes SAP IBP implementations, optimization, and ML-enabled insights across teams in Atlanta, Boston, Chicago, Dallas or Washington DC.

You will work with solution architects and project teams to translate business needs into actionable data designs, build datasets, and configure APS platforms while contributing to

Qualifications

• Graduate or postgraduate degree in science, engineering, mathematics, business or MBA; master's degree in supply chain optimization / operation research / industrial engineering is a plus
• 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 supply chain data systems such as ERP, TMS, WMS
• Familiarity with data extraction, data 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

• Design and implement advanced digital planning solutions for McKinsey clients using SAP IBP
• Participate in the full lifecycle of a project from design to delivery of APS solutions across industries
• Work with solution architects to develop clear functional and technical designs, document data requirements, build datasets, and configure the APS platform
• Create and execute workflow and data analytics test-cases and track issues
• Collaborate with internal product teams and third-party planning solution providers to shape future solution roadmap
• Based in Atlanta, Boston, Chicago, Dallas or Washington DC as part of MSC-X

Skills

English communication

Bilingual (English/Spanish)

Analytical thinking

Data visualization

Optimization methods

Problem solving

Education

Master's in supply chain/OR/Industrial Eng

MBA

Graduate degree in STEM/business

Tools

SAP IBP

ERP/TMS/WMS

Data extraction tools

Analytics software

Job description

• Atlanta
• Boston
• Chicago
• Dallas
• Washington DC

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.

YOUR IMPACT

• You will spend a significant part of your time working with McKinsey & Company 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/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 also work with McKinsey's internal product teams as well as third party planning solution providers to shape future solution roadmap based on client's pain points and business requirements.
• You will be based in our Atlanta, Boston, Chicago, Dallas or Washington DC office. You will be a part of MSC-X, the analytics wing of McKinsey & Company's Manufacturing and Supply Chain practice and will work directly with McKinsey project teams and clients across regions and sectors on complex supply chain planning problems.

YOUR GROWTH

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and 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. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World‑class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well‑being for you and your family.

YOUR QUALIFICATIONS AND SKILLS

• Graduate or postgraduate degree in science, engineering, mathematics, business or MBA; master's degree in supply chain optimization / operation research / industrial engineering is a plus
• 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 supply chain data systems such as ERP, TMS, WMS
• Familiarity with data extraction, data 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

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.

Most US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. To help you understand what you can expect, the salary range for new joiners in this role in United States, including all office locations where the job may be performed, is $140,000 - $144,200 USD gross per year. This reflects our best estimate of the lowest to highest salary 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.