Director, Data Engineering & Analytics

Fandango is seeking an experienced and strategic Director of Data Engineering to lead two mission-critical functions: our Core Data Engineering team and our Fandango360 B2B marketing data platform. This role is ideal for a data leader who thrives at the intersection of data infrastructure, marketing technology, and product innovation. You’ll drive the roadmap for data products and pipelines that power decision-making, monetization, and privacy-safe marketing intelligence for the world’s top movie studios. You’ll lead a team of engineers to build data systems that serve internal stakeholders and external partners, integrating cutting-edge data architecture with real-world entertainment and advertising use cases. The ideal candidate will combine hands-on technical expertise with strong cross-functional leadership, and thrive in a role with broad autonomy, where strategic judgment, initiative, and accountability are essential. At Fandango, we’re passionate about data, storytelling, and delivering great experiences to movie fans and studio partners alike. Responsibilities:  Strategic & Product Leadership Drive measurable improvements in data availability, platform reliability, and time-to-insight across product and marketing use cases. Own the vision and roadmap for Core Data Engineering and the Fandango360 SaaS platform. Act as technical lead and co-owner of the Fandango360 product roadmap, working closely with Product Management to deliver value to studio clients. Collaborate with Product, Data Science, and Business stakeholders to deliver scalable, compliant data products. Drive innovation in clean room technology, marketing data activation, and advanced use of first-party data. Team & Execution Leadership Lead, mentor, and scale a team of approximately 10-15 engineers. Foster a high-performance, self-directed, and accountable culture focused on quality, velocity, and continuous improvement. Partner with Privacy, Legal, and Data Governance teams to ensure ethical and compliant data use. Technical Oversight Architect solutions for data ingestion, orchestration, warehousing, and analytics using AWS-native services. Oversee integrations with internal and external platforms, including social, ad networks, and transactional systems. Support deployment of ML models (e.g., recommendation systems, customer segmentation, forecasting) into production pipelines.