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At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We are looking for a Data Lead to join the Title Data Management team within Content Data Management under Content & Business Products (CBP). Our team manages the integrity and connectivity of title data across its full lifecycle — from a title's earliest creation through active production, launch, and ongoing catalog life. This role focuses on the lifecycle dimension: understanding how title data and structure change as a title moves through its life, and as Netflix's catalog expands into new formats.

In this role, you will own the team's knowledge and response to changes in the title lifecycle and structure across multiple entities and data models. As Netflix's catalog expands into new content formats and adjacent systems evolve, you'll define what "title" means in new contexts, build the frameworks the team uses to scope and prioritize work, and assess how upstream changes ripple through title data management practices and workflows. You'll partner with multiple product and engineering teams supporting development, production, finance, and legal, as well as other business use cases that require foundational, horizontal title data management — engaging early enough to shape outcomes, not just react to them. This requires collaborative and strategic thought partnership, the establishment and alignment of shared goals, authoring data requirements, measuring impact and telling that story through metrics, and normalizing edge case patterns into established workflows and structured data.

A successful candidate has the depth to investigate ambiguous problems and turn them into structure, builds strong partnerships across a wide set of teams through collaboration rather than authority, and can pivot as the systems and formats around them change. You'll hold a strong point of view grounded in a real understanding of multiple data models and how they connect — and you'll be comfortable being the person who defines the framework before one exists. You’ll also enjoy diving into new business problems and content formats to understand where gaps, overlaps, and discrepancies exist across a varied title infrastructure.

• Identify and establish relationships with product and engineering teams in order to collaborate on evolving data models, entity relationships, cardinality rules, attributes and taxonomies across title data

• Understand different title data models and content formats deeply, which involves prioritizing the most critical areas to learn about at a given point in time based on business needs

• Understand business drivers and multiple business teams throughout the lifecycle and across content formats to address impacts to title data management and establish relationships with these teams as needed

• Build trust and alignment with partner teams through influence, not authority — earning buy-in by communicating shared benefit and aligning on common goals

• Assess and communicate the impact of adjacent-system changes (e.g. shifts in production data model) on title data, and lead the team's response

• Create necessary documentation for both the team’s understanding of changes within the title lifecycle and structure, as well as contributing to automation and agentic workflows (e.g. how to handle multiple developments for a given title, status transitions, connected data workflows, etc)

• Define what "title" means for new and evolving content formats, and translate that into operational rules and handoff specs the rest of the team can act on

• Build and maintain the cross-domain duplicates framework, so titles that span multiple domains (e.g. sports and traditional content) are caught before they cause downstream disruption

• Partner closely with the Data Lead focused on title integrity, handing off operational rules and definitions once a format or pattern moves from strategic scoping into steady-state operations

• Partner closely with Data Quality Analysts on the team to inform our operations and knowledge documentation

• Set goals and success metrics for the lifecycle domain, and report on progress to leadership

• Contribute to developing the team’s roadmap initiatives and annual strategic goals

• 6+ years of experience working in one or more of the following fields: entertainment products and databases, television and film production, video game industry, advertising, or data management

• Experience working across multiple product and engineering teams, with the ability to build trust and alignment without direct authority. This includes ownership of communications: async, setting and leading meetings, following up and closing out open items.

• Strong analytical skills and the ability to synthesize ambiguous, cross-system problems into clear frameworks and devise solutions

• Ability to operate independently on a given problem, perform the necessary research to scope, clarify, and define an approach or workflow solution

• Experience creating a roadmap with dependencies on other teams, both technical and within the business

• Project management skills– scoping, defining, and tracking milestones while coordinating work across the team and partners in the business

• Experience tracking and providing insightful metrics and insights to both leadership and partners in product and engineering teams

• Excellent communication skills, able to translate technical and structural nuance for both technical and non-technical audiences

• Knowledge of data lifecycle and data governance concepts

• Proficiency with Google Suite and table-based applications (e.g. Excel, Airtable)

• Flexible in an evolving environment and ability to work through ambiguity

• AI-forward thinking, with an approach to automate what makes sense but also validate results and keep humans in the loop for critical work

• Deep understanding of content and title lifecycle — from creation through production, launch, and ongoing catalog life — and how data, systems, and teams connect across it

• Experience with SQL and querying large datasets

• Experience with new or emerging content formats (sports, live events, podcasts)

• Experience partnering with data quality or data engineering teams on rule systems or monitoring

• Data visualization skills, concept mapping, and entity relationship diagrams
  

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $230,000.00 - $340,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.