Netflix

Los Gatos, CA
5,001-10,000 employees
Netflix is the world's leading streaming entertainment service

Data Lead, Studio Data Management (Deal)

Data Lead, Studio Data Management (Deal)

This job is no longer open

Location: Preferably based out of our Los Gatos or Los Angeles office; however, we are open to fully remote candidates.

Netflix is the world’s leading streaming entertainment service with over 230 million paid memberships in over 190 countries enjoying series, documentaries and feature films across a wide variety of genres and languages. As our slate of original productions and licensed content increases, we must scale and formalize management of studio data to meet the changing needs of the business. Now is an exciting time to join a talented, energetic team that is helping to shape operational data standards and practices for a growing studio.

The Role:

We are looking for a Data Lead to join the Studio Data Management team within Content & Business Products (CBP), which creates applications that drive innovation in content creation. Our team manages data quality for several large operational data sets that are used broadly across these applications. We work closely with product teams to ensure that the data is bringing value to their products while also working to improve underlying data quality through better processes, analysis, guidelines and user education.

In this role, you will focus on data related to the deals Netflix makes with talent and companies for the content we put on service. Deal data is used throughout studio operations, from pitch to play, and it’s critical that this information is accurate, complete and connected. In this role, you will help define, analyze and report on data quality standards to meet business requirements, devise and socialize best practices, and create and execute processes to monitor and fix data efficiently. You will work with product squads on projects related to product development while also guiding improvements to foundational data health.

A successful candidate will love digging into large data sets to find patterns and diagnose problems, have the agility to pivot between heads-down project execution and user-focused problem-solving, and be excited by the opportunity to be part of an evolving team.

| Responsibilities

  • Provide near-term and long-term thinking for deal data needs across the studio, including data quality and data education. Create quarterly goals to meet near and long-term business objectives and lead execution of road map initiatives.
  • Act as the primary data entity subject-matter expert broadly across the studio, consulting with product management, engineers, designers and stakeholders on work related to deal data. 
  • Work with product management, product DSE and other partners to define, create, analyze and report metrics that provide visibility into various dimensions of data quality.
  • Independently define and implement strategies to scale data quality work efficiently. 
  • Lead data quality projects to support product development and to improve foundational data quality, creating detailed plans that identify business impact, timelines and risks and executing on work
  • Manage stakeholder requests and drive stakeholder alignment when needed
  • Act as a resource for responding to users’ data-related support requests. 
  • Partner with business teams to create and implement more efficient process, best data practices and instructional documentation

| Qualifications

  • 6+ years experience working in data management with databases and/or content management systems
  • Strong analytical skills and an ability to synthesize information across a broad ecosystem to diagnose problems and devise solutions
  • Strong understanding of workflow and ability to recognize inefficiencies
  • General understanding of the pitch-to-play lifecycle of content 
  • Knowledge of data lifecycle and data governance concepts
  • Excellent time-management and project management skills and the ability to manage timelines for multiple projects
  • Strong ability to communicate with empathy and clarity to technical and non-technical  audiences
  • Flexible in an evolving environment
  • Proficiency with Google Suite and table-based applications (e.g. Excel, Airtable)

Additive Skills:

  • Experience with SQL
  • Experience working with product, engineering and customer support teams
  • Experience in legal operations or studio operations
  • Experience working at a studio, distributor, film sales, production company, agency, management firm or other entertainment operation

If your experience doesn’t check off every box in our list of qualifications, but you think you’d be a great addition to our team anyway, we want to hear from you! Please attach a cover letter to your resume explaining how your skills and experience could enhance this role.

| Netflix Culture

Netflix'sculture is an integral part of what makes us successful, and we approach diversity and inclusion seriously and thoughtfully. We are an equal opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.

The overall market range for roles in this area of Netflix is typically $80,000 - $350,000.

This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn morehere.

This job is no longer open
Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.