About VideoAmp

VideoAmp is the tech-first measurement company transforming how advertising is valued, bought, and sold. Powered by currency-grade big data and a best-in-class technology stack, our platform gives advertisers, publishers, and agencies the ability to plan, optimize, and measure media investments across every screen — from linear TV and OTT to CTV and digital video.

VideoAmp is accelerating investment in agentic AI and intelligent optimization technologies — helping clients drive measurable, real-world outcomes in an increasingly complex media landscape. With 880% year-over-year measurement growth, 98% coverage of the TV publisher ecosystem, and partnerships with 11 agency groups and 1,000+ advertisers, we're not just keeping pace with the industry — we're defining what comes next.

We believe great work requires great people — people who say "I'll find a way" instead of "it can't be done."

The Role

The Lead, Data Operations – Local TV Domain Expert will play a critical role in shaping and operationalizing VideoAmp's local measurement capabilities. This role owns the design, execution, and quality assurance of complex local TV workflows, supporting emerging opportunities in local station-level measurement and unwired aggregation.

This is a hands-on, domain-driven role sitting at the intersection of Data Operations, Data Science, Product, and Engineering. The ideal candidate brings deep experience in local broadcast data — including affiliate structures, as-run logs, and station-level variability — and can translate that knowledge into scalable operational processes.

This role will be central to evaluating and enabling new local measurement capabilities, including affiliate roll-ups, log-level integrations, and near currency-grade outputs.

What You'll Do

• Own end-to-end operational design and execution for local TV measurement workflows, including station-level data, affiliate roll-ups, and market-specific nuances.
• Define and implement QA frameworks for local data, including anomaly detection, gap identification (e.g. missing affiliates), and reconciliation of logs and schedules.
• Partner with Product and Data Science to translate ambiguous local measurement requirements into operational workflows and data specifications.
• Evaluate feasibility and operational impact of local measurement capabilities across different tiers (e.g. baseline, unwired aggregation, log-level integration).
• Lead ingestion and validation strategies for local data sources, including as-run logs, affiliate broadcast schedules, and third-party integrations (e.g. WideOrbit, Strata).
• Identify and resolve edge cases related to local market variability, including timezone differences, affiliate deviations, and inconsistent metadata across markets.
• Support development of data delivery mechanisms such as Snowflake shares and clean room integrations for local datasets.
• Serve as a domain expert and escalation point for local data issues, providing clear root cause analysis and prevention strategies.
• Contribute to automation and tooling efforts to support QA, monitoring, and operational scalability of local workflows.
• Partner with cross-functional teams including Revenue and Client Services to ensure operational readiness and credibility with external partners.

What You'll Bring

• 7+ years of experience in Data Operations, Data Engineering, Analytics, Account Management, or related roles, with strong exposure to local TV or broadcast measurement.
• Deep familiarity with local broadcast ecosystems, including affiliates, station-level reporting, and market structures.
• Experience working with as-run logs, broadcast schedules, or ad verification datasets.
• Familiarity with media measurement concepts such as ratings, reach, frequency, and demographic segmentation.
• Experience working cross-functionally with Product, Engineering, and Data Science teams.
• Strong problem-solving skills with a focus on system-level thinking and long-term solutions.
• Ability to operate effectively in ambiguous environments with evolving requirements.
• Clear communicator who can translate complex operational issues into actionable insights for both technical and non-technical stakeholders.
• Experience designing or supporting QA frameworks for complex data pipelines, including anomaly detection and reconciliation.
• Strong SQL proficiency and experience working in large-scale data environments preferred (e.g. Snowflake or similar).

Compensation & Benefits

Our Values