At Netflix, we strive to be the most engaging entertainment platform and storyteller marketer in the world. A big part of that engagement is the interaction our members have with our content and how they discover a new story they’ll love. Behind that discovery is a wealth of creative material — images, clips, trailers, featurettes, synopses, factoids, tags, and genre categorizations — that leads the industry in its scale and utilization. We are evolving and creating internal products to improve the efficiency of creative assets conceptualization, development, production, and deployment for on and off-service title discovery. In this role, you will be responsible for driving the strategy and construction of a taxonomy that will support these efforts.
We are seeking a Taxonomist who has experience with and passion for bringing structure to large-scale, disparate databases of creative assets that include audio-visual, static image, and textual assets. Your experience includes implementing best practices and driving adoption of taxonomies. The taxonomies this person develops will support asset metadata that can be both technical and creative in nature. You must be adept at setting up users for success in applying both objective and subjective points of metadata. You will be responsible for scoping, creating, and maintaining data dictionaries, controlled vocabularies, schema governance, and data integrity/enforcement.
The ideal candidate will be confident in making informed decisions after receiving input and asking for critical feedback from cross-functional partners. They possess the communication skills to successfully advocate for and gain acceptance of new taxonomy-related processes and governance policies. They must be concise, definitive, and convincing in their well-founded recommendations.
As the Creative Production Taxonomist, you will work closely with the Creative Marketing Production, Brand, Product Studio, Editorial Creative, and Data Science Engineering teams to define and develop a common taxonomy that will allow Netflix to maximize the efficiency of its creative assets. You will also partner with Creative Operations, Platform Engineering, and Product Engineering to introduce user-focused, scalable solutions for applying metadata to creative assets.
You are comfortable working in an environment where giving and receiving feedback is the norm and successful teammates do not shy away from difficult conversations.
Reporting to the Editorial Curation Manager, this is an exempt role, located in our Los Gatos or Los Angeles office.
- Defining new taxonomies and metadata related to both the technical and creative attributes for all Netflix visual and textual assets.
- Surveying and interviewing stakeholders and observing current workflows.
- Reconciling disparate taxonomies and metadata across teams.
- Auditing existing taxonomies and improving their efficiency.
- Ensuring metadata is defined such that its integrity will not be compromised by cultural bias.
- Defining workflows and standards for metadata application.
- Working closely with engineering partners to identify solution requirements, including intuitive UI for metadata application.
- Evangelizing the importance of the adoption of common taxonomies.
- Working with team experts to develop training materials and sessions.
- Establishing a governance framework for all taxonomies.
- Establishing maintenance systems for all taxonomies.
- Experience defining and developing taxonomy and metadata schemas
- 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
Nice to Have:
- Experience working with global partners
- BS in related fields: Data Management, Computer Science, Library & Information Science