Direct Hire Authority Dha Jobs in New York City, NY

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VP Ad Sales & Sponsorship Operations

Company: Sphere Entertainment Co.

Location: New York City, NY

Posted Jan 31, 2025

Sphere Entertainment Co is seeking a VP of Ad Sales & Sponsorships Operations to drive efficiency and success of the Exosphere advertising and Sphere Sponsorships sales team. The role involves developing and managing sales processes, measurement, and reporting, partnering with various departments, and implementing a comprehensive measurement strategy. The ideal candidate should have 10+ years of work experience, professional services or business operations experience, and familiarity with the media and advertising industry. The role offers a competitive pay range of $270,000-$325,000 and emphasizes employee growth and diversity.

Frequently Asked Questions

What are typical salary ranges by seniority for Direct Hire Authority DHA roles?
Entry‑level (0–2 years): $70,000–$90,000. Mid‑level (3–5 years): $90,000–$120,000. Senior (6+ years): $120,000–$160,000. Lead/Manager: $160,000–$200,000.
What skills and certifications are required for Direct Hire Authority DHA positions?
Must‑have skills: Python, SQL, Airflow, dbt, Snowflake, Kubernetes, Terraform. Certifications: AWS Certified Big Data – Specialty, Google Cloud Professional Data Engineer, Snowflake SnowPro Core, Databricks Certified Data Engineer Associate.
Is remote work available for Direct Hire Authority DHA roles?
Approximately 85% of DHA listings offer fully remote or hybrid options. Remote roles typically require 9‑5 UTC+0 alignment, flexible hours, and proficiency with collaboration tools like Slack, Teams, and GitHub.
What are common career progression paths within Direct Hire Authority DHA?
Data Engineer → Senior Data Engineer → Lead Data Engineer → Data Ops Manager → Director of Data Operations. Each step adds responsibilities in architecture, team leadership, and strategic data governance.
What industry trends are shaping Direct Hire Authority DHA roles?
Growing adoption of serverless data warehouses (Snowflake, BigQuery), real‑time streaming (Kafka, Pulsar), AI‑driven data catalogs, increased focus on data privacy (GDPR, CCPA), and demand for cross‑functional data science integration.

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