About the role
In this role, you will manage data pipelines and refreshes to ensure seamless data processing and availability. You will investigate and fix data pipeline failures by conducting root cause analysis and applying necessary remediations. Additionally, you will optimize and maintain data pipelines to support data integration and transformation. You will build processes that support data ingestion, data transformation, qualitative analysis, and dependencies. By working closely with data provider teams, you will resolve pipeline issues impacting data freshness and accuracy. When data feeder teams are unable to resolve discrepancies, you will raise and implement data fixes, ensuring data integrity in reporting layers. You will lead the evaluation, implementation, and deployment of tools and processes to improve the way we work. Identifying opportunities for process improvement, you will automate repetitive tasks and enhance existing data pipelines for long-term sustainability. Ensuring compliance with data governance and security policies will be a key responsibility. Collaboration with other functions, such as data translators, data scientists, and data visualization engineers, will enable distinctive client service. Additionally, you will manage and support infrastructure platform configurations, resources, and provisioning for data services.
About the company
Secure Foundation Cloud Services is an entity within McKinsey's global IT organization that provides IT support services to McKinsey firm members and clients. The team is responsible for managing the firm's global IT infrastructure and applications. Secure Foundation Cloud Services provides "Data Operation" services for McKinsey's business operations. This group is responsible for operating and managing data products across multiple internal and external engagements, ensuring availability, reliability, and uninterrupted data delivery for the business. It is a team of skilled engineers supporting our software developers, data analysts and data scientists, with initiatives to ensure optimal data delivery and consistency during engagements.
