Meta Reality Labs BET Analytics Engineering Manager

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Meta Reality Labs BET Analytics Engineering Manager
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The FRL Business Enablement Team within FRL Operations partners with cross-functional delivery partners and our business teams including Manufacturing, Sourcing, Product Quality, Supply Chain and Post Sales Support business teams to define processes, implement enabling systems and analytics solutions and support change management and solution adoption. BET Analytics is looking for an Analytics Manager to support a team of technical analysts responsible for building scalable data and analytics tools to influence and optimize the performance of our FRL Operations partners. The Analytics Engineering Manager role is a people manager opportunity that requires the ability to develop and grow a team of technical and motivated Analytics Engineers who are responsible for developing data pipelines, the RL Operations data warehouse, and analytics tools for their supply chain operations partners. On our team you will see a direct link between your work, organization, and product growth and will have an opportunity to lead a team in solving challenging business and technical problems that come with scaling a global manufacturing and supply chain that few companies can match.
Meta Reality Labs BET Analytics Engineering Manager Responsibilities
  • Manage a global team of Analytics Engineers who are responsible for data engineering, data warehousing, and building analytics solutions
  • Lead the management and development of data architecture, data warehouse, measurement strategies, privacy protection, reporting and insights
  • Build a high performing team which includes hiring, onboarding, mentoring, developing and performance coaching for team members
  • Design and maintain scalable organization in an ambiguous and fast paced environment
  • Develop roadmap to align with company priorities, identifying gaps, risks and communicating progress and shifts to leadership and partners
  • Build strong partnerships and collaboration with peers, planning and programs teams, and global business partners
  • Ability to understand, collaborate and influence across cross-functional organizations
  • Provide thought leadership and a strategic lens to continuously evolve our listening frameworks, strategies, and practices
  • Work collaboratively in a relationship-oriented, matrixed, fluid, growing and complex environment and effectively manage stakeholder relationships
  • Contribute to technical development where necessary, designing and developing data models, data pipelines, and analytics tools
Minimum Qualifications
  • 5+ years experience as a People Manager directly responsible for leading and developing technical experts (Data Modelers, Data Architects, Data Engineers, Data Scientists)
  • Experience influencing technical and non-technical partners with data and insights
  • 9+ years experience in a hands-on technical role as a Data Modeler, Data Architect, Data Engineer, or Data Scientist, gathering and decomposing requirements into a technical solution for insights and analysis
  • 9+ years experience following the data development lifecycle to develop scalable data infrastructure and analytics tools
  • 9+ years of experience with SQL for development (Oracle, Hive, MySQL, Spark, etc.)
  • 5+ years of experience in custom ETL/ELT design, implementation, and maintenance of data warehouses
  • 5+ years of experience using data visualization and business intelligence tools (e.g., Tableau, Qlik, Looker)
  • Experience leading projects with cross-functional stakeholders in a highly matrixed organization
  • Experience managing multiple projects simultaneously and working autonomously in a fast-paced ambiguous environment
  • Experience influencing technical results to technical and non-technical audiences across all levels of an organization
  • Understanding of the application of statistics in business, such as forecasting, machine learning, causations and correlations
  • Experience in front-end and back end data management, specifically validating and improving quality and efficiency across multiple internal and third-party tools or systems
Preferred Qualifications
  • Degree in an analytical field (e.g., Information Systems, Computer Science, Engineering, Mathematics, Statistics, Management Science)
  • Experience with R, SPSS, SAS
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to
(Colorado only*) Estimated salary of $179,000/year + bonus + equity + benefits
*Note: Disclosure as required by sb19-085(8-5-20)
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