Learning Specialist - Tech & AI
$112.9k - $162.6kMcKinsey & Company
Job ID: 107239
- Amsterdam
- Atlanta
- Budapest
- Chicago
- Dallas
- Denver
- Dublin
- Dusseldorf
- London
- Munich
- New Jersey
- 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. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- Exceptional 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.
- University degree in Computer Science, Engineering, Data Science, or a related technical field (or equivalent practical experience) preferred
- 3+ years of professional experience, including hands-on experience in a technical or closely related role (e.g., software engineering, data science, data engineering, product engineering, technical program management, or similar), ideally in a technology-led or innovation-driven environment
- Interest in or experience with capability building, learning design, or knowledge sharing, demonstrated through prior experience (e.g., onboarding, documentation, internal training, mentoring, or similar)
- Demonstrated Technical Credibility: Practical experience contributing to, building, or deploying technical solutions; ability to engage effectively with engineers, data scientists, and product teams on tools, workflows, and AI-enabled practices
- End-to-End Ownership and Delivery Mindset: Proven ability to independently scope, manage, and deliver projects from problem definition through execution and measurable outcomes; comfortable operating with ambiguity and accountability
- Strong Problem Solving and Structured Thinking: Ability to break down complex problems, synthesize inputs, and translate technical needs into clear, actionable solutions
- Strong Organizational and Execution Skills: Ability to manage multiple workstreams, prioritize effectively, and deliver high-quality outputs in a fast-paced environment
- Exposure to frontier technology domains preferred, such as Gen AI, agentic systems, cloud platforms, or modern data and engineering ecosystems
- Effective Communication and Translation Skills: Ability to bridge technical and non-technical audiences, distill complex concepts into practical learning interventions, and communicate clearly with a range of stakeholders
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 NowApply Later
In accordance with Ontario law, this job positing is for an existing vacancy.
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 and Canadian jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. For new joiners for this role in Canada and/or the United States, including all office locations where the job may be performed, a reasonable estimated range is $112,900 - $162,600 in USD and $125,600 - $157,000 in CAD - to help you understand what you can expect. 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.
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