Key skills
AIMLETLData EngineeringAnalyticsAgileLeadershipProject ManagementMentoringPrototyping
About this role
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.
Responsibilities
Build, mentor, and manage a high-performing data engineering team specializing in AI/ML solutions for operations.
* Lead governance, adoption and impact measurement of advanced AI/ML models to automate and optimize global operations workflows by partnering with ENG and DS teams.
* Oversee the creation of scalable, analytics-driven backends to enable effective post-monitoring of AI deployment and measurable OpEx reduction.
* Partner with Operations, Product, Engineering, Data Science teams to identify and prioritize high-impact opportunities for AI-driven automation.
* Build win-win partnerships with functional leaders and external partners to drive collaborative success.
* Develop and implement measurement frameworks in partnership with DS to assess the impact of AI models on operational performance and cost savings.
* Communicate results and insights to senior leadership, translating technical outcomes into business value.
* Drive end-to-end project delivery, from ideation and prototyping to production deployment and ongoing optimization.
* Establish best practices for data engineering, and model development ensuring scalability, reliability, and compliance.
* Stay current with industry trends in AI, data engineering, and operations technology.
* Proactively identify and implement opportunities for process improvement and innovation.
* Telecommuting from anywhere in the U.S. allowed.
Qualifications
Master's degree (or foreign equivalent) in Business Analytics, Computer Science, Engineering or a related field and 4 years of experience in the job offered or in a data/business analyst or computer-related occupation
* Experience must include 4 years in the following:
* Experience with data architecture, ETL pipelines, distributed systems, and AI/ML model development and deployment
* Influencing cross-functional teams to drive alignment on technical strategy
* Experience with coaching, mentoring, and developing high-performing teams
* Experience with project management, delivering complex, multi-phase projects, and agile methodologies
Responsibilities
Build, mentor, and manage a high-performing data engineering team specializing in AI/ML solutions for operations.
* Lead governance, adoption and impact measurement of advanced AI/ML models to automate and optimize global operations workflows by partnering with ENG and DS teams.
* Oversee the creation of scalable, analytics-driven backends to enable effective post-monitoring of AI deployment and measurable OpEx reduction.
* Partner with Operations, Product, Engineering, Data Science teams to identify and prioritize high-impact opportunities for AI-driven automation.
* Build win-win partnerships with functional leaders and external partners to drive collaborative success.
* Develop and implement measurement frameworks in partnership with DS to assess the impact of AI models on operational performance and cost savings.
* Communicate results and insights to senior leadership, translating technical outcomes into business value.
* Drive end-to-end project delivery, from ideation and prototyping to production deployment and ongoing optimization.
* Establish best practices for data engineering, and model development ensuring scalability, reliability, and compliance.
* Stay current with industry trends in AI, data engineering, and operations technology.
* Proactively identify and implement opportunities for process improvement and innovation.
* Telecommuting from anywhere in the U.S. allowed.
Qualifications
Master's degree (or foreign equivalent) in Business Analytics, Computer Science, Engineering or a related field and 4 years of experience in the job offered or in a data/business analyst or computer-related occupation
* Experience must include 4 years in the following:
* Experience with data architecture, ETL pipelines, distributed systems, and AI/ML model development and deployment
* Influencing cross-functional teams to drive alignment on technical strategy
* Experience with coaching, mentoring, and developing high-performing teams
* Experience with project management, delivering complex, multi-phase projects, and agile methodologies