Define and execute the technical strategy for Ad Sales BI automation, improving the accessibility, consistency, and reliability of business-critical data and insights
Architect and build a common context layer that unifies data and business context to support analytics, automation, and AI-driven experiences
Enable agent-to-agent experiences by developing trusted, reusable data foundations and context that AI agents and intelligent applications can leverage
Partner with Product, Engineering, Analytics, and Ad Sales stakeholders to identify opportunities to automate workflows and improve data-driven decision-making
Establish engineering standards and best practices across data architecture, data quality, governance, observability, scalability, and reliability
Drive the modernization and automation of data workflows, reducing manual processes and accelerating the delivery of actionable insights
Provide technical direction on complex data engineering challenges while balancing near-term business priorities with long-term platform strategy
Recruit, mentor, and develop engineering talent while fostering a culture of technical excellence, accountability, collaboration, and innovation
WHAT YOU WILL NEED
10+ years of experience in data engineering, software engineering, data platforms, or related technical roles, including 5+ years leading and developing engineering teams
Deep technical understanding of modern data engineering architectures, with experience designing and scaling enterprise-grade data platforms, pipelines, and services
Hands-on knowledge of cloud and modern data technologies such as AWS, Databricks, Apache Spark, and related distributed data processing frameworks
Strong understanding of data lake, data warehouse, and lakehouse architectures, including approaches for structuring and serving large-scale analytical datasets
Experience with modern data orchestration and transformation frameworks and patterns for building reliable, maintainable, and reusable data pipelines
Strong understanding of data modeling, data contracts, metadata management, lineage, governance, data quality, and observability
Experience designing data platforms that support BI, analytics, automation, machine learning, and AI-powered applications
Understanding of how enterprise data, metadata, semantic models, and contextual information can be structured and exposed to support AI agents and agentic workflows
Experience establishing engineering standards around scalability, reliability, performance, security, and cost optimization across cloud-based data environments
Strong knowledge of software engineering principles, APIs, distributed systems, and integration patterns relevant to modern data platforms
Proven ability to evaluate emerging technologies, make architectural tradeoffs, and set a technical roadmap that balances immediate business needs with long-term platform strategy
Demonstrated ability to translate complex business requirements into scalable technical solutions and communicate architecture, technical decisions, and tradeoffs to both technical and business stakeholders
Strong people leadership skills with experience hiring, mentoring, developing, and retaining high-performing engineering talent
NICE TO HAVE, BUT NOT A DEALBREAKER
Experience working in advertising, Ad Sales, advertising technology, or media technology
Experience building data foundations or platforms that support generative AI, agentic AI, or agent-to-agent workflows
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We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.
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 $179,000.00-228,500.00 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.
View more detail about FOX Benefits.
