Director, Data Engineering & Analytics, Fandango at NBCUniversal

Orlando, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Jan, 26

Salary

0.0

Posted On

25 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Marketing Technology, Product Innovation, Data Architecture, Data Systems, Team Leadership, Cloud Technologies, AWS, SQL, API Architecture, Machine Learning, Agile Development, Stakeholder Management, Data Governance, Data Warehousing, Data Pipelines

Industry

Entertainment Providers

Description

Company Description SPORTS NEXT NBC Sports Next is where sports and technology intersect. We’re fueled by our mission to innovate, create larger-than-life events and connect with sports fans through technology. We’re a subdivision of NBC Sports and home to leading technology platforms and digital applications for Youth & Recreational Sports; Golf; and Emerging Media. At NBC Sports Next, we equip more than 30MM players, coaches, athletes, sports administrators and fans in 40 countries with more than 25 sports solution products, including SportsEngine, the largest youth sports club, league and team management platform; SportsEngine Play, the first ever streaming service for youth and amateur sports, GolfNow, the leading online tee time marketplace and provider of golf course operations technology; and GolfPass the ultimate golf membership that connects golfers to exclusive content, tee time credits, instructional content and more. FANDANGO Over the past twenty years, Fandango has built a network of direct-to-consumer digital brands, where 50 million+ fans unite to celebrate their love for movies, TV and streaming. We take pride in serving fans throughout their entertainment journey from content discovery to theatrical moviegoing to watching at home. Our portfolio includes leading online movie ticketer, Fandango, which tickets for more than 31,000 U.S. movie screens; world-renowned entertainment review site, Rotten Tomatoes; and Fandango at Home (previously known as Vudu), the on-demand streaming service offering the industry’s best selection of 4K UHD titles and more than 250,000 new release and catalogue movies and next day TV shows. Job Description 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. Qualifications BS in Computer Science, Engineering, or related field (or equivalent practical experience). 10+ years in data engineering roles working with big data, ETL pipelines, and orchestration. 5+ years leading technical teams (Data Engineering, Application Engineering, or Platform Engineering). Working knowledge of cloud technologies, infrastructure, and technical security fundamentals Deep hands-on experience with: AWS Glue, MWAA (Managed Workflows for Apache Airflow) AWS Lambda, API Gateway, Cognito Batch orchestration with AWS Batch and Step Functions SQL, ElasticSearch, and database technologies Proficiency in API and microservices architecture (REST, serverless patterns). Familiarity with JavaScript/Node.js and modern web frameworks (Angular, React, or Vue). Desired Characteristics: Experience building data warehouses from the ground up, ideally with medallion/lakehouse architecture. Operates with autonomy and takes ownership of ambiguous challenges without waiting for top-down direction. Familiarity with machine learning pipelines and deploying ML models into production environments. Strong knowledge of the Software Development Life Cycle (SDLC) and agile development practices. Excellent communication, collaboration, and stakeholder management skills. Experience managing multiple priorities and driving execution in fast-paced environments. Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [email protected]. Although you'll be hired as an NBCU employee, your employment and the responsibilities associated with this job likely will transition to Versant in the future. By joining at this pivotal time, you'll be a part of this exciting company as it takes shape.

Responsibilities

Lead the Core Data Engineering team and the Fandango360 B2B marketing data platform, driving the roadmap for data products and pipelines. Collaborate with various stakeholders to deliver scalable and compliant data products while fostering a high-performance team culture.