Senior Director of AdTech Architecture

Comcast

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NYReston, VAChicago, ILEnglewood, CO
Salary
$205,230–$307,845 / yr
Posted
71 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $248k
This role $257k
$179k most similar roles pay here $322k

This role pays more than 57% of similar roles. Most pay $204,750–$290,250 — the shaded band above. At the midpoint, this role pays about $257k versus about $248k for comparable roles.

Based on 240 similar postings.

Employer

About Comcast

Comcast is an American telecommunications and media conglomerate, providing cable TV, internet, and phone services under the Xfinity brand, and owning NBCUniversal.

Comcast currently has 84 open roles on FindRole.

Listed pay typically runs $137,369–$206,053 across 58 roles with salary data.

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At a glance

TL;DR · Senior Director of AdTech Architecture

Senior Director of AdTech Architecture – FreeWheel leads a team of Enterprise Architects within the Enterprise Architecture department to provide technical direction for the engineering organization. This leader is responsible for defining the enterprise architecture vision, establishing governance standards, and creating solution blueprints for distributed, cloud-native systems. The role involves managing architectural roadmaps, overseeing decision records, and ensuring that product offerings are scalable, secure, and cost-efficient. Key responsibilities include guiding technical strategy for ad serving, SSP, DSP, audience identity, measurement, and data platforms while integrating generative AI into workflows. The position requires expertise in microservices, Kubernetes, APIs, event-driven systems, and infrastructure modernization. Candidates must navigate the complexities of the advertising technology ecosystem, specifically addressing challenges in premium video content, programmatic supply and demand, and large-scale transaction-oriented systems to ensure high performance and reliability across various media platforms.

What you'll do

  • Lead and manage a team of Enterprise Architects to provide technical direction for FreeWheel’s AdTech platforms.
  • Define the enterprise architecture vision, operating model, and engagement approach aligned with business goals.
  • Serve as a strategic advisor to Product and Engineering leadership to translate market opportunities into actionable roadmaps.
  • Establish and oversee architecture governance mechanisms, including design reviews, standards management, and decision records.
  • Oversee the creation of solution blueprints, reference architectures, and target-state designs for cloud-native systems.
  • Evaluate build, buy, extend, or retire decisions based on cost, risk, and architectural fit.
  • Identify opportunities and establish guardrails for implementing generative AI across product and internal workflows.
  • Drive improvements in system reliability, security posture, scalability, and cost efficiency across the portfolio.

What we're looking for

  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
  • 12+ years of experience in software engineering, software architecture, or enterprise architecture for high-scale platforms.
  • 10+ years of people leadership experience managing senior architects and other senior technical individual contributors.
  • Expertise in cloud-native architectures including microservices, Kubernetes, APIs, event-driven systems, and security-by-design.
  • Experience establishing architecture governance, decision frameworks, standards, and review processes for large-scale enterprise environments.
  • Proven ability to evaluate build/buy/customize strategies and communicate technical decisions to executive and product audiences.
  • Preferred experience in AdTech, MarTech, or media technology including ad serving and programmatic workflows.
  • Familiarity with generative AI patterns, RAG, and governance for production AI systems is preferred.

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