Senior Data Engineering Leader

3 days ago

New York, New York, United States EDO Full time

About EDO

EDO is the TV outcomes company, maximizing creative and media performance for modern marketers at leading brands, TV networks, entertainment studios, and ad agencies. Our investment-grade data aligns advertising investments to business results, providing detailed competitive, category, historical, and predictive intelligence.

The Role

The Head of Data Operations is a critical position that oversees the company's data quality and technical account management teams. This leader will drive a consistent internal feedback loop on processes and deliverables, working with EDO engineers and data scientists to plan and prioritize technical solutions in collaboration with the media analytics team.

Responsibilities

  • Oversee data operations for syndicated and client first-party data from ingestion through to finalized reports.
  • Evaluate current data operations and identify enhancements to ensure high-quality and timely data availability.
  • Leverage data warehouse concepts and experience with data engineering and analysis tools to examine big-data workflows and identify optimization opportunities.
  • Identify, co-design, and champion opportunities for automation and intelligent software replacements for manual optimization tasks.
  • Manage Data Quality and TAM teams, which includes approximately 10 people in the US and an offshore DQ team.
  • Oversee the maintenance of EDO's data taxonomy, representing a unified schema across EDO's media data.
  • Support the sales and business development process by evaluating feasibility of new opportunities, collaborating with the TAM team, and working with engineering and data science on new opportunities.
  • Drive a consistent internal feedback loop on processes and deliverables, working with EDO engineers and data scientists to plan and prioritize technical solutions in collaboration with the media analytics team.
  • Understand and stay on top of changing industry dynamics and the competitive landscape.

Requirements

  • Minimum of ten years of experience, including at least four years of people management; experience managing offshore teams is a plus.
  • Location: remote, preferred NY. Hybrid work environment.
  • Deep knowledge and experience in tagging, clean rooms, and CTV measurement.
  • Experience implementing generative AI solutions.
  • Experience working with complex taxonomies within syndicated data is preferred.
  • Strong project management skills, including ability to design strong processes. Comfortable working in Jira.
  • Versatility, i.e., the ability and willingness to wear multiple hats and switch gears frequently.
  • A player-coach mindset, with expectation that he/she will be hands-on with data and projects.
  • A self-starter who is comfortable with ambiguity and has the desire to be part of a fast-growing, exciting, and nimble start-up company.

Compensation

$140,000 - $160,000 per year, plus equity in a mid-stage company and eligibility for a discretionary annual bonus.

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