Data Operations Lead

VideoAmp Careers Website

1d•$184,000 - $215,000•Remote

About The Position

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.

Requirements

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).

Responsibilities

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.