This role involves leading a technical team to enhance the scalability, quality, and efficiency of data and machine learning processes. The engineer will design and build tools, libraries, pipelines, and platforms to support Data Science and Business teams in launching experiments in production. The position requires end-to-end ownership of systems to enable rapid production deployment. The team focuses on processing big data to help validate strategic decisions and react to a fast-changing environment.

This role involves proactively sourcing and pitching potential host locations to grow the SPX locker network. Responsibilities include conducting field surveys to assess site suitability, negotiating lease terms, and managing the transition of signed sites to installation. The position requires close collaboration with operations and engineering teams to ensure successful deployment and maintaining relationships with property management groups.

You will manage the full-cycle recruitment process for the Audit & Assurance service line, from job requisition to offer management. You will collaborate closely with business leaders and HR Business Partners to translate workforce needs into effective hiring plans. Additionally, you will proactively source candidates through various channels, build talent pipelines, and ensure a high-quality candidate experience while maintaining accurate data in applicant tracking systems. As a leader within the team, you will advise hiring managers on market trends and best practices. You will contribute to process improvements and TA projects to enhance operational efficiency. You will also ensure that all recruitment practices align with internal policies, employment laws, and data privacy regulations, while actively participating in audits to maintain compliance.