Senior Director of Advertising Systems & Automation Engineering

This is a Full Time Job

Senior Director, Advertising Systems & Automation (Engineering)

Be Part of What's Next

Help architect the data foundation that powers the future of advertising at Hearst Magazines. This is a high-impact engineering leadership role at the center of revenue, operations, and technology-building the interoperable systems that drive automation, accuracy, and insight across our advertising ecosystem.

Key Responsibilities (What You Are Doing)
• Lead the architecture and delivery of a centralized, interoperable data foundation across Salesforce (CRM), AdPoint (OMS), Google Ad Manager (GAM), Meta, and other media platforms.
• Design and govern APIs and services that enable seamless interoperability, campaign workflows, pacing, status tracking, delivery reporting, and discrepancy management.
• Architect and oversee scalable data pipelines on Google Cloud into BigQuery (batch and near-real-time), ensuring monitoring, lineage, auditability, and SLA adherence.
• Build and maintain a finance-grade reporting layer powering Looker and Domo; standardize and govern metric definitions (booked, delivered, billed, pacing, forecast, yield).
• Drive automation of data ingestion, transformation, reconciliation, and quality controls to reduce manual processes and improve root-cause analysis.
• Establish consistent identifiers, mapping rules, and entity resolution frameworks across systems to enable a single source of truth.
• Lead and mentor a small NYC-based engineering team while coordinating sprint execution with outsourced development partners.
• Partner closely with Revenue Operations, Finance, Marketing, and Product to prioritize roadmaps and deliver scalable, business-aligned solutions-including exploring AI/ML applications for anomaly detection, forecasting, deduplication, and operational automation.

Qualifications (What We're Looking For)
• Deep experience (12 years) in data architecture and/or data engineering, including hands-on work within ad tech or publisher revenue workflows.
• Proven success integrating Salesforce, OMS platforms (AdPoint or similar), and Google Ad Manager to enable operational interoperability and reporting.
• Strong understanding of ad operations data structures and processes (campaign hierarchies, trafficking, delivery, pacing, discrepancies).
• Advanced expertise building data products on Google Cloud, with BigQuery as a core warehouse solution.
• Strong SQL, canonical and dimensional data modeling skills, and a commitment to auditability and finance-grade accuracy.
• Demonstrated ability to lead teams and deliver results using a combination of in-house and outsourced engineering resources.
• Clear communicator who can translate complex technical concepts into business-aligned solutions; skilled in documentation including data contracts, runbooks, and architecture diagrams.
• Experience with Looker modeling/semantic layers and/or Domo governance preferred.
• Familiarity with GAM reporting APIs, log-level data, MDM/entity resolution, or applied AI/ML for automation and forecasting is a plus.
• Ability to work in-office in New York City 4 days per week.