Manager, Analytic Engineering - DTC Revenue Assurance

Welcome to Warner Bros. Discovery... the stuff dreams are made of.

Who We Are...

When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next...

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Your New Role...

The Manager, Analytics Engineering - Revenue Assurance leads the development, governance, and reliability of analytics data products that ensure the accuracy, completeness, and integrity of Direct-to-Consumer (DTC) revenue and billing data across Warner Bros. Discovery's digital businesses.

• Contract of employment
• Hybrid work model
• Benefits package: private medical care, life and accident insurance, MyBenefit cafeteria platform, sports card, social fund, retirement pension plan, Employee Referral Program
• Free access to the HBO Max platform
• Work-life balance initiatives: well-being platform, yoga, massages, educational webinars, Employee Support Program, film screenings organized by employees in the office cinema
• Training and development: training platform, co-financing of English lessons, Employee Resource Groups, Engagement Club - the opportunity to develop your interests in thematic employee groups, online meetings with experts
• CSR activities: volunteering, ecological and social initiatives
• Access to parking spaces

• Lead and oversee the architecture, performance, and operation of analytics data pipelines built on Databricks and Apache Spark supporting revenue-critical datasets
• Manage and guide a team of Analytics Engineers, providing technical leadership, code review, and optimization support for large-scale transactional data processing
• Define standards and technical direction for data transformations, integrations, and automation using SQL and Python for revenue assurance and reconciliation use cases
• Establish and enforce best practices for data quality, testing, deployment, documentation, and version control to ensure analytics assets are auditable and reusable
• Partner with Revenue Assurance, Accounting, FP&A, Tax, Audit, Product, and Engineering teams to translate financial and operational requirements into scalable analytics solutions
• Drive continuous improvement by proactively identifying revenue risks, reducing manual processes, and adopting tools or methodologies that enhance data quality and financial controls

• Proven experience leading analytics or data engineering in complex, high-volume data environments
• Proven experience designing and operating data pipelines
• Strong understanding of revenue assurance, financial reporting, reconciliations, or billing data in digital or subscription-based businesses
• Ability to translate financial and business requirements into scalable, well-governed analytics solutions
• Excellent stakeholder management and communication skills, with experience partnering across Finance, Product, Engineering, and Data teams
• Strong analytical mindset with a focus on data quality, automation, auditability, and continuous improvement