Expert Associate Partner - Travel, Logistics and Infrastructure

Expert Associate Partner

• Travel, Logistics and Infrastructure McKinsey & Company parental leave, paid time off United States, Connecticut, Darien May 07, 2026 Tech & AI Expert Associate Partner

• Travel, Logistics and Infrastructure Job ID:

  108561 Atlanta Austin Boston Charlotte Chicago Cleveland Columbus Connecticut
• Darien Dallas Detroit Houston Apply Now Apply Later 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 play a senior leadership role in shaping and delivering AI-enabled transformation for leading freight and passenger transportation companies, logistics providers, port and terminal operators, parcel and express networks, and others across the distribution value chain. You will work with QuantumBlack, AI by McKinsey, teams that are small, flexible, and focused on building scalable, production-ready AI solutions that deliver real business outcomes

• partnering closely with McKinsey client service teams from strategy through implementation. Transportation and logistics leaders are operating in an environment defined by volatility
• demand swings, capacity constraints, labor challenges, service expectations, and increasing pressure to improve resilience. In this role, you will work with McKinsey client service teams to counsel clients, shape their AI agendas, and architect AI acceleration and transformation programs
• then lead delivery so the work shows up in day-to-day operations and commercial performance.

What that looks like in practice: Assess data and tech maturity across network, operations, maintenance, and commercial systems (often fragmented across legacy platforms, control towers, and operational tools), and translate that into a practical path to scale. Lead high-impact AI delivery for operations and asset-intensive environments

• solutions that improve reliability, throughput, and cost (e.g., forecasting and capacity planning, routing and dispatch optimization, ETA prediction and exception management, terminal/yard productivity, preventive maintenance, workforce scheduling). Set technical direction and co-create the architecture
• leading technical design workshops with client leaders, aligning on key tradeoffs (speed vs. robustness, central vs. federated data, model complexity vs. operational usability), and ensuring solutions are production-grade and governable. Drive adoption and operational embed
• building the operating rhythms, measurement approach, and change plan so solutions are used by dispatchers, planners, commercial teams, and frontline leaders, not just tested in pilots. Develop talent and raise the bar
• apprenticing and mentoring high-performing QuantumBlack, AI by McKinsey practitioners across Transportation & Logistics, and building teams that can move quickly without compromising quality.

You'll work within the Travel, Logistics and Infrastructure (TLI) and QuantumBlack, AI by McKinsey practice, closely with senior leaders across our global TLI practice and directly with senior clients on topics related to digital, technology, and advanced analytics. You will be part of the senior leadership team helping clients deliver material value from digital and analytics assets

• overseeing multiple deployments and leading large, complex, high-profile sessions on findings and implications.

YOUR GROWTH

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives 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'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: 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, all while upholding our unwavering commitment to ethics and integrity. 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

7+ years of experience applying data science, advanced analytics, and AI to drive measurable business impact in client-facing or senior stakeholder settings (e.g., forecasting, pricing and optimization, personalization, operational decision support, or end-to-end performance improvement) Deep experience in transportation and logistics (e.g., freight, parcel/express, trucking, ports/terminals, shipping, rail, urban transit), with hands-on understanding of the data and technology environments common to these sectors (network and operational data, asset telemetry/maintenance data, customer and shipment data, and core planning/execution systems) Experience designing and scaling modern AI solutions, including production-grade machine learning, generative AI, and agentic or workflow-embedded AI approaches that augment or automate complex business decisions Experience with data migrations, IT transformations (e.g., data lakes, platform warehouses, etc.) or enterprise implementations of CRM (Salesforce, Microsoft Dynamics, etc.) or ERP (Oracle, etc.) systems Demonstrated leadership of multidisciplinary engineering and analytics teams (data science, data engineering, full-stack, platform, DevOps), including experience managing distributed and offshore teams Strong expertise with major cloud platforms (AWS, Google Cloud, or Microsoft Azure) and fluency in modern AI and data stacks, including core languages (e.g., SQL, Python), and emerging agentic AI tooling (e.g., LLM orchestration frameworks, tool-calling and workflow-based agents, retrieval-augmented generation, and MLOps pipelines) Flexible with travel: between 40-80% Strong communication and collaboration skills with a proven track record of establishing client relationships with successful outcomes Please review the additional requirements regarding essential job functions of McKinsey colleagues. Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve. Industries Capabilities 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 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 $243,000

• $249,000 USD
• 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. Share This Job