Manager, Analytic Engineering - Dtc Revenue Assurance

Warner Bros Discovery Warner Bros Discovery · Media · Warsaw, Masovian, Poland · Finance & Accounting

Manager, Analytics Engineering - Revenue Assurance leads the development, governance, and reliability of analytics data products ensuring accuracy, completeness, and integrity of DTC revenue and billing data. Manages a team of Analytics Engineers transforming commerce, subscription, payment, and partner data into trusted analytics assets. Partners with Finance, Product, Engineering, and Data teams to reduce revenue risk, prevent leakage, and increase automation and transparency.

What you'd actually do

  1. Lead and oversee the architecture, performance, and operation of analytics data pipelines built on Databricks and Apache Spark supporting revenue‑critical datasets
  2. Manage and guide a team of Analytics Engineers, providing technical leadership, code review, and optimization support for large‑scale transactional data processing
  3. Define standards and technical direction for data transformations, integrations, and automation using SQL and Python for revenue assurance and reconciliation use cases
  4. Establish and enforce best practices for data quality, testing, deployment, documentation, and version control to ensure analytics assets are auditable and reusable
  5. Partner with Revenue Assurance, Accounting, FP&A, Tax, Audit, Product, and Engineering teams to translate financial and operational requirements into scalable analytics solutions

Skills

Required

  • 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

Nice to have

  • Databricks
  • Apache Spark
  • SQL
  • Python

What the JD emphasized

  • revenue assurance
  • financial reporting
  • reconciliations
  • billing data
  • data quality
  • auditability