Expert Associate Partner - Travel & Hospitality
Job
McKinsey & Company
Houston, TX (In Person)
$246,000 Salary, Full-Time
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Job Description
Expert Associate Partner
- Travel & Hospitality McKinsey & Company parental leave, paid time off United States, Texas, Houston May 07, 2026 Tech & AI Expert Associate Partner
Travel & Hospitality Job ID:
108562 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?
YOUR IMPACT
You will play a senior leadership role in shaping and delivering AI-enabled transformation for leading airlines, airports, hotels, cruise lines, rail operators, and other travel ecosystem players. You'll work with small, flexible QuantumBlack, AI by McKinsey teams and McKinsey client service teams to translate strategy into production-ready AI solutions-setting technical direction, designing architectures, and driving execution alongside client teams to deliver measurable outcomes. We are in the midst of an unprecedented period of change within the travel and hospitality sector, with a high bar on delivering new capabilities rooted in AI. In your role, you will work with McKinsey client service teams to counsel clients, shape their AI agendas, and architect AI acceleration and transformation programs. What that looks like in practice: Evaluate data and technology maturity across commercial, customer, and operational domains- then translate what you learn into a clear, sequenced roadmap that clients can execute (and fund). Lead end-to-end solution delivery
- from use case shaping through build, deployment, and adoption
- so the work lands in the business (not just in a slide). This includes partnering with client product/tech leaders, aligning stakeholders, and putting the measurement approach in place so value is visible and durable. Bring strong problem-solving and vision-setting to complex client needs
- delivering high-impact insights and recommendations, and leading technical design workshops to co-create solutions and architecture with clients. Build scalable, secure foundations (data architecture, MLOps, governance, security) that enable repeatable AI delivery across lines of business
- especially in environments where legacy commercial systems, loyalty platforms, and operational systems have to work together. Apprentice and mentor teams
- you will be responsible for developing high-performing QuantumBlack, AI by McKinsey practitioners across Travel & Hospitality, raising the bar on quality, pace, and practical impact.
- overseeing multiple deployments and leading large, complex, high-profile working 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.
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 travel and hospitality (e.g., airlines, airports, hotels, cruise, rail/urban transit, travel platforms), with hands-on understanding of the data and technology environments common to these sectors (commercial and demand data, pricing and revenue systems, customer and loyalty platforms, digital commerce, contact center/service operations, and operational and asset data) 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 LaterFOR 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.
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 JobSimilar remote jobs
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