Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

This person will focus on the strategic planning, design, and implementation of taxonomies to help achieve goals for the Communities Product Group team, such as supporting the categorizing and labeling, machine learning and content understanding systems of Facebook Groups. The crux of this work is in developing, maintaining, growing a multi-dimensional taxonomy for a complex, many-faceted product while integrating it into a broader taxonomy/ontology infrastructure. The work also includes the creation of best practices for taxonomy governance and management, the metadata and vocabulary standards, the process and criteria for change management, and cross-functional relationships. The person in this role will be expected to have skills influencing other teams and stakeholders. The right candidate must be a self-motivated, team-player partnering with different teams across the organization to contribute to the overall business objectives of the organization.

• Provide thought leadership for information architecture and taxonomy development and adoption.
• Utilize industry best practices for taxonomy development and maintenance.
• Coordinate and prioritize taxonomy work by working closely across departments to achieve desired outcomes.
• Plan and design taxonomy management and maintenance program.
• Consult with internal product partners to expand our taxonomy to support product and business goals while remaining faithful to underlying structures.
• Identify requirements through engagement with product partners.
• Deliver communication plans and training to assist internal users in socialization and adoption of new tools.
• Serve as point of contact for taxonomy content and structure guidelines.
• Drive continuous improvements on taxonomy development and product use processes.
• Serve as a strategic resource for labeling and model building efforts.
• Identify, analyze and troubleshoot data quality problems from results of labeling efforts and modeling predictions for informing taxonomy improvements.
• Identify features and tools to support taxonomy development and process efficiencies.
• Research internal data to inform taxonomy improvements.
• Educate stakeholders on an ongoing basis to champion the taxonomy process, workflows and implementation frameworks.
• Collaborate with other taxonomists on establishing best practices and editorial guidelines for taxonomy development.
• Provide internal teams insights on industry best practices around the use of taxonomies for data and metadata management, privacy and business integrity.
• Travel (possibly frequently) between offices.

• 5+ years of experience in developing information architectures to support a variety of systems both for front-end and back-end use.
• Experience with developing complex taxonomies, thesauri, and ontologies.
• Experience with evaluating and implementing systems such as enterprise search systems, content management systems, digital asset management systems, and customer relationship management systems.
• Experience with developing flow diagrams, schematics, and other artifacts to communicate information management principles.
• Experience with a variety of topic/domain types and complexity of taxonomies.
• Experience with systems and business analysis.
• Experience communicating and presenting ideas at all levels of management.

• Master's Degree in Library Science or Information Management