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Mckinsey Partner Jobs (NOW HIRING)

McKinsey & Company

Campus Recruiter

Philadelphia, PA · On-site

... McKinsey & Company. You will collaborate with Partners, Professional Development, consultants, source recruiters, and the broader North America recruiting team to develop and execute recruiting ...

McKinsey & Company

Specialist - Payors

Atlanta, GA · On-site

  • Medical

  • Vision

  • Life

... McKinsey leadership. You will also devote time to creating new knowledge, assets and capabilities for the payor practice in partnership with Healthcare Access, Quality and Outcomes improvement (HALO ...

McKinsey & Company

Campus Recruiter

Chicago, IL · On-site

... McKinsey & Company from MBA and APD sources. You will own hiring efforts at some Advanced ... You will collaborate with partners and consultants to help develop and drive recruiting strategy ...

McKinsey & Company

Campus Recruiter

Miami, FL · On-site

YOUR IMPACT You will collaborate with partners and consultants to help develop and drive recruiting ... You will be an integral member of the McKinsey Miami location as well as the broader North America ...

McKinsey & Company

Recruiter

Charlotte, NC · On-site

$35K - $46K/yr

... McKinsey & Company. You will be based in our Charlotte office as part of our North America recruiting team. This team partners with consultants, leaders, and the broader recruiting community to ...

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Mckinsey Partner information

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$30.5K

$117.5K

How much do mckinsey partner jobs pay per year?

As of Aug 18, 2026, the average yearly pay for mckinsey partner in the United States is $113,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $116,500.00 per year, depending on experience, location, and employer.

What is a McKinsey Partner?

A McKinsey Partner is a senior leader at McKinsey & Company, one of the world's leading management consulting firms. Partners are responsible for managing client relationships, leading project teams, and driving the firm's business development. They play a key role in shaping strategic direction for clients, mentoring junior consultants, and contributing to the growth and reputation of the firm. Becoming a Partner typically requires years of consulting experience, strong leadership skills, and a proven track record of delivering value to clients.

What are the key skills and qualifications needed to thrive as a McKinsey Partner?

To thrive as a McKinsey Partner, you need exceptional strategic thinking, deep industry expertise, and a proven record of client leadership, typically supported by an advanced degree such as an MBA. Mastery of analytical tools, financial modeling software, and familiarity with digital transformation platforms are commonly required. Outstanding communication, relationship-building, and leadership skills distinguish top performers in this role. These capabilities are essential for delivering high-impact solutions, driving firm growth, and maintaining trusted client relationships at the highest levels.

What are some common challenges faced by new McKinsey partners, and how can they navigate them successfully?

New Partners at McKinsey often face the challenge of balancing client delivery with business development responsibilities. They are expected to lead large, complex engagements while simultaneously nurturing client relationships and identifying new opportunities for the firm. Navigating these challenges requires strong leadership, effective delegation, and cultivating trust within both client and internal teams. New Partners benefit from leveraging mentorship, ongoing learning, and close collaboration with other senior leaders to manage expectations and drive impactful results.

What is the difference between Mckinsey Partner vs Mckinsey Associate?

AspectMckinsey PartnerMckinsey Associate
CredentialsAdvanced degree (MBA, PhD), extensive consulting experienceBachelor's or Master's degree, entry-level to mid-level experience
Work EnvironmentLeadership, client relationship management, strategic decision-makingData analysis, research, supporting project teams
Employer & Industry UsageSenior leadership in consulting firms, client-facing rolesConsulting firms, project support roles

The main difference between a Mckinsey Partner and a Mckinsey Associate lies in experience, responsibilities, and leadership. Partners lead client engagements and drive firm strategy, while Associates support project execution. Partners typically have more advanced credentials and years of experience, whereas Associates are often early in their consulting careers.

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What job categories do people searching Mckinsey Partner jobs look for?

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Mckinsey Partner jobs near you
Infographic showing various Mckinsey Partner job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 10% Part Time, and 8% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $113,105 per year, or $54.4 per hour.

Data Engineer - QuantumBlack, AI by McKinsey

McKinsey & Company

Lisbon, MD • On-site

$125K - $151K/yr

Full-time

Re-posted 9 days ago

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

20th of 72 rated business consultants

Job description

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 design scalable data pipelines, manage secure data environments, and lead technical workstreams while mentoring junior colleagues and collaborating with clients and cross-functional teams.
You'll tackle impactful challenges, contribute to R&D, and grow as a technologist by working on innovative AI solutions across diverse industries.
You will own technical platforms and lead the delivery of advanced analytics workstreams. You'll design and build robust, scalable, and reproducible data pipelines for machine learning, manage secure data environments, and assess data quality to prepare it for advanced analytics models. You'll also mentor junior colleagues and contribute to R&D projects and internal asset development.
Your work will tackle real-world challenges across industries. By partnering with QuantumBlack, AI by McKinsey and QuantumBlack Labs teams, you'll help create innovative machine learning systems that accelerate AI adoption and solve critical business problems at speed and scale, enabling clients to achieve meaningful, lasting impact.
You'll be based in Madrid or Lisbon as part of our global Data Engineering community. You'll work in cross-functional Agile teams alongside Data Scientists, Machine Learning Engineers, and industry experts to deliver advanced analytics solutions. Collaborating with clients from data owners to C-level executives you'll help design impactful solutions that address complex business challenges.
Your work offers a unique opportunity to grow as a technologist and leader. You'll develop expertise at the intersection of technology and business by addressing diverse challenges. Working with inspiring, multidisciplinary teams, you'll gain a holistic understanding of AI while collaborating with some of the best design, technical, and business talent in the world.
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
  • Degree in Computer Science, Engineering, Mathematics, or equivalent experience.
  • Ability to write clean, maintainable, scalable and robust code in an object-oriented language, e.g., Python, Scala, Java, in a professional setting
  • Familiarity with distributed computing frameworks (e.g. Spark, Dask), cloud platforms (e.g. AWS, Azure, GCP), containerization, and analytics libraries (e.g. pandas, NumPy, matplotlib)
  • Proven experience building data pipelines in production for advanced analytics use cases
  • Experience working across structured, semi-structured and unstructured data
  • While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more
  • Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
  • Willingness to travel
  • Strong communication skills, both verbal and written, in English and Spanish or Portuguese, with the ability to adjust your style to suit different perspectives and seniority levels

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.

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