Data Lead, Title Lifecycle & Content Formats

What you'll do

• Define what "title" means for new content formats and translate those definitions into operational rules and handoff specs.
• Identify and establish relationships with product and engineering teams to collaborate on evolving data models, attributes, and taxonomies.
• Assess and communicate the impact of adjacent-system changes on title data management and lead the team's response.
• Build and maintain a cross-domain duplicates framework to identify titles spanning multiple domains before they cause downstream disruption.
• Create documentation for title lifecycle changes and contribute to the development of automation and agentic workflows.
• Set goals and success metrics for the lifecycle domain and report progress on these metrics to leadership.
• Author data requirements and normalize edge case patterns into established workflows and structured data.
• Partner with Data Quality Analysts to inform operational knowledge and team documentation.

What we're looking for

• 6+ years of experience in entertainment products, television/film production, video games, advertising, or data management.
• Experience working across multiple product and engineering teams to build trust and alignment without direct authority.
• Strong analytical skills to synthesize ambiguous, cross-system problems into clear frameworks and solutions.
• Experience creating roadmaps with dependencies on other technical and business teams.
• Project management skills including scoping, defining, and tracking milestones across teams.
• Ability to track and provide insightful metrics and insights to leadership and product/engineering partners.
• Knowledge of data lifecycle and data governance concepts.
• Proficiency with Google Suite and table-based applications like Excel or Airtable.
• Experience with SQL and querying large datasets (preferred).
• Experience with new or emerging content formats like sports, live events, or podcasts (preferred).
• Data visualization skills, concept mapping, and entity relationship diagrams (preferred).
• AI-forward thinking to automate workflows while validating results (preferred).