Job ID: 108061
Bengaluru
Chennai
New Delhi
Gurugram
Kolkata
Mumbai
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 act as a trusted advisor to our clients, ensuring they achieve their desired outcomes, realize the full value of our solutions, and maintain long\-term success with EcliptOS.
You will be responsible for managing a team of Machine Learning Engineers (MLEs), guiding their efforts to deliver exceptional technical solutions and support to clients. Additionally, you will oversee client relationships, working closely with cross\-functional teams—including engineering, data science, and support—to deliver outstanding client experiences and drive continuous improvement. Your strong leadership, strategic thinking, and passion for fostering client success will drive your success.
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.
YOUR QUALIFICATIONS AND SKILLS
Degree in CS/Engineering or equivalent experience
5\+ years working with enterprise clients and driving measurables outcomes, preferably in a data engineering or analytics environment
Expertise with software development/deployment, preferably Python
Strong understanding of data engineering, data science and GenAI concepts
Experience with deployment and infrastructure management, preferably in environments using Docker and Kubernetes
Excellent problem\-solving skills and the ability to analyze and resolve complex data engineering challenges
Proactive, client\-focused mindset with a passion for delivering value
Strong communication and collaboration skills, with the ability to build trust and influence stakeholders at all 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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