Responsibilities include:

• Defining new taxonomies and metadata related to the categorization, technical and creative attributes that will support the Netflix content pipeline. .
• Reconciling disparate taxonomies and metadata across teams.
• Strategically evaluating the taxonomy and requests for new data for synergies with existing taxonomies wherever possible.
• Evaluation of adoption of industry taxonomies and associated mapping solutions.
• Surveying and interviewing stakeholders and observing current and developing workflows.
• Ensuring metadata is defined such that its integrity will not be compromised by cultural bias.
• Working with subject matter experts to define workflows and standards for metadata application.
• Develop taxonomies that will be foundational to our asset management and core content data roadmaps..
• Working closely with engineering partners to identify solution requirements, including tooling and intuitive UI for metadata application.
• Evangelizing the importance of the adoption of common taxonomies.
• Working with team experts to develop training materials and sessions.
• Creating and maintaining documentation to support taxonomies.
• Reviewing other taxonomies and collaborating with Taxonomy Team colleagues.
• Auditing existing taxonomies and improving their efficiency.
• Establishing, Implementing and/or updating maintenance and governance tracks for created taxonomies.

Requirements:

• Deep experience with complex, interconnected taxonomies.
• Familiarity with job, vendor and operational taxonomies and standards.
• Experience defining and developing new taxonomy and metadata schemas.
• Experience as a team member with software development cycles and practices.
• Experience working in a high-volume content environment.
• Experience working with systems shared across internal teams and vendors.
• Experience establishing a governance system.
• Excellent communication skills: written, verbal and presentation.
• Able to work with and manage multiple stakeholders’ expectations and priorities.
• Ability to set goals and work independently in a highly cross-functional, non-hierarchical workplace.
• Ability to influence across various function groups.
• Comfortable working with stakeholders, partners and co-workers to create order out of vague and/or ambiguous requirements.
• Experience working in a global context, sensitive to regional requirements.
• Familiarity with legal compliance and the changing landscape of data regulations around the world.

Nice to Have:

• Experience with Data Science, Computer Science
• Experience working in the entertainment industry.
• Experience working with a global catalog, consumer-facing experiences, and creative content. 
• Interest in Machine Learning and/or Artificial Intelligence capabilities.
• Interest in Information Architecture, User Experience and/or Human Computer Interaction.
• Experience with Multilingual Taxonomies.
• Experience with DAMS and/or MAMS.
• Familiarity with Ontologies and Graph Models.