Technology Architect

At McKinsey, our most valuable resource is our people. As such, we have built a world class team dedicated to optimizing people management and facilitating data driven decision making, including strategies to improve employee satisfaction, team structure, employee management, recruiting decisions and other high impact use cases.

The People Analytics and Measurement team is globally respected as a leader in its field. You will be provided the opportunity for in-depth exposure to new, emerging methodologies through hands-on client projects, e-learning, certifications, live boot camps and global analytics conferences. This team works in one of the fastest growing disciplines in analytics.

You will be part of the technology architecture and enablement pod. You will contribute to a diverse, curious, entrepreneurial and innovative team that operates at the intersection of cloud computing, architecture, operations alongside natural language processing (NLP) and machine learning (ML). Each member of the team is motivated by personal and technical growth and enjoys a highly autonomous working environment along with team oriented projects.

You will deal with Product and Services architecture and you will work at the intersection of other pods that deal with Data Engineering, Data Integration, Application Development and Data Science.

You should be able to deploy ML, NLP and other similar solutions in a production environment at scale. You will be given ownership across the entire Software Engineering and Ops Lifecycle with a strong emphasis on Machine Learning Engineering to deploy models, and training, inference and validation pipelines into production. In the process, you will be supported and encouraged to become a Technology Architect. You will work with Data Engineers, Developers, Analysts and Product Owners to build scalable, reliable, and impactful services. You will be creating and maintaining stable, performant services (real-time, streaming, batch and scheduled) and applications that will deal with prescriptive analytics pre-dominantly which will help in driving firm decisions on the basis of large data-sets within the firm.

You will design, implement, deploy into the cloud, and integrate state-of-the-art machine learning services at scale in production into critical firm workflows that need to be availed for stakeholders and users to serve the following use-cases - recruitment, trainings for firm members, team composition, staffing, satisfaction of your colleagues, etc.

You will build self-serve tools and services that will be leveraged by Product Owners and non-tech colleagues to analyze and to distill unstructured text data into actionable insights. For example, you will deploy solutions that analyze unstructured text like resumes, job descriptions, surveys, and other firm documents to help with use-cases in recruiting, staffing, etc.

You will architect scalable and performant solutions for the firm’s use-cases; provision and support Platforms, Tools, and Services necessary to drive Advanced Analytics, BI initiatives, and AI/ML opportunities in the People Technology space; conduct Discoveries and in-depth analysis of Cloud Services and SaaS platforms to determine the optimal tech stack for the team. You will develop NLP, ML Ops, and other capabilities for data scientists across the firm to use; aid Development teams with activities related to Architecture diagrams, Cloud Infrastructure setup and Security.

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