Senior Manager, AI Strategy, FinOps & Optimization

Comcast

Quick summary

Work type
On-site
Location
New York, NY
Salary
$178,972–$268,458 / yr
Posted
1 day ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $217k
This role $224k
$160k most similar roles pay here $280k

This role pays more than 53% of similar roles. Most pay $187,886–$246,150 — the shaded band above. At the midpoint, this role pays about $224k versus about $217k 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 75 open roles on FindRole.

Listed pay typically runs $117,627–$195,998 across 39 roles with salary data.

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View all roles at Comcast

At a glance

TL;DR · Senior Manager, AI Strategy, FinOps & Optimization

As a Senior Manager of AI Strategy in FinOps and Optimization at FreeWheel, you will lead the strategic adoption of AI and machine learning technologies to enhance engineering performance and financial efficiency. You will work closely with Engineering, Product, Architecture, Data, and Finance teams to implement scalable and cost-effective solutions using platforms like Snowflake, Aerospike, and Databricks. Your daily responsibilities include developing optimization initiatives, establishing governance processes, creating executive dashboards, and driving continuous improvement in engineering velocity and infrastructure utilization. You must have experience with FinOps practices, cloud cost management, and evaluating commercial off-the-shelf technologies to accelerate AI adoption. This role requires a deep understanding of AI/ML concepts, proficiency in Snowflake’s optimization capabilities, and the ability to translate technical advancements into measurable business outcomes.

What you'll do

  • Lead cost optimization initiatives across engineering domains to improve efficiency and reduce costs.
  • Develop AI-driven solutions to automate tasks, enhance productivity, and accelerate software delivery.
  • Establish and monitor metrics for infrastructure utilization, cloud spend, and developer productivity.
  • Create governance processes integrating cost and operational sustainability into technical decisions.
  • Use AI and analytics to identify cost anomalies, forecast capacity needs, and recommend optimizations.
  • Build executive dashboards for visibility into engineering spend, AI adoption, and business value realization.
  • Drive continuous improvement initiatives to reduce technical debt and improve platform operations efficiency.

What we're looking for

  • Extensive experience in AI and machine learning implementation in enterprise settings.
  • Deep understanding of FinOps practices, cloud cost management, and financial modeling.
  • Expertise with Snowflake, Aerospike, and Databricks for data engineering and analytics.
  • Proven ability to evaluate and implement commercial off-the-shelf (COTS) technologies.
  • Strong background in translating technical capabilities into business and financial outcomes.
  • Experience collaborating across Engineering, Architecture, Finance, and Product teams.
  • Familiarity with BI tools like Looker for reporting and analytics.

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