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Data Operations Lead

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VideoAmp

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Location:
United States

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Category:
IT - Administration

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Contract Type:
Not provided

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Salary:

184000.00 - 215000.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • 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

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)
What we offer:
  • Equity participation included
  • Discretionary & flexible PTO + Spring, Summer & Winter company breaks
  • Inclusive and comprehensive medical, dental & vision
  • 401(k) with matching
  • HSA & FSA
  • Paid Maternity & Parental Leave for all family additions
  • Cell phone & wifi reimbursement
  • Commuter benefits

Additional Information:

Job Posted:
April 23, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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