VP, Data Architecture & Platforms

Fox Tech, LLC
Los Angeles, CA, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$247,000 - $300,000
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Data Architecture Data Systems Digital Content Distributed Systems Interoperability Operational Data Store OpenAI Data Streaming Parquet Snowflake
+11 more
Event Driven Architecture Data Lakes Operational Systems Data Management Machine Learning Operations Video Streaming Claude Api Design Google Gemini Data Pipelines Databricks

Job description

Fox is seeking a Vice President, Data Architecture & Platforms to lead the architectural direction of our enterprise data ecosystem. This role designs and evolves the foundational platforms that power operational systems, machine-to-machine interactions, analytics, and executive decision-making., * Define and evolve the enterprise data architecture, including data lakes, operational data stores, and business intelligence applications to support an AI-driven approach to forecasting, analytics, advertising intelligence, and product features in an environment organized around live content streaming and decisioning

  • Establish architectural standards for interoperability, scalability, governance, and data product design
  • Architect real-time and near real-time data pipelines that power operational workflows and automated decisioning
  • Enable machine-to-machine interactions through event-driven systems and standardized service interfaces
  • Ensure consistent, trusted delivery of emerging modern data interfaces that support executive reporting and data interrogation
  • Drive modernization efforts to reduce data silos and simplify cross-platform integrations
  • Partner closely with engineering, product, AI/ML, analytics, and operations teams to embed data directly into revenue, content, and audience systems
  • Translate CTO strategy into executable architectural roadmaps and platform investments
  • Lead and develop high-performing architecture and platform teams

Requirements

  • Proven experience leading enterprise-scale data architecture initiatives in complex, multi-product organizations
  • Deep expertise in modern cloud-native data platforms, distributed systems, streaming technologies, and API-driven architectures
  • Strong understanding of operational data systems and how to embed data into real-time business processes
  • Experience enabling machine learning systems through scalable data pipelines and production-grade infrastructure
  • Demonstrated ability to define architectural standards and drive adoption across federated teams
  • Strong executive communication skills with experience presenting architectural strategy and tradeoffs to senior leadership
  • Experience building and mentoring high-performing engineering or architecture teams
  • Experience with data technologies such as Databricks, Snowflake, and standards such as Iceberg and Parquet, and how those technologies are hosted in AWS and other cloud platforms, and how to deliver that data in AI applications powered by Claude, Gemini, and OpenAI, * Experience in media, streaming, advertising technology, or digital content ecosystems
  • Background in designing data platforms that support monetization, personalization, or audience intelligence
  • Familiarity with enterprise-scale executive reporting environments
  • Experience driving platform standardization across distributed business units

Benefits & conditions

Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $247,000.00-300,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement. #J-18808-Ljbffr

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