Senior Manager, FinOps & AI Enablement

Capital One Financial

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Remote

Quick summary

Work type
Remote
Location
McLean, VA
Employment
Full-time
Posted
77 days ago
Freshness
Confirmed live today

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Similar $202k
$167k $237k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $173,375–$230,566.

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About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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At a glance

TL;DR · Senior Manager, FinOps & AI Enablement

JOB TITLE: Sr Manager IC, FinOps & AI Enablement — Analytics Team (Remote - Eligible) As a senior individual contributor within the Analytics Team, you will own the cost and AI-leverage layer of the analytics platform for Capital One Shopping. You will build and support three production platforms: a data warehousing platform, an event ingestion pipeline, and an Airflow orchestration platform. Key responsibilities include developing a cost-attribution pipeline, a forecast-driven autoscaling control loop for Trino and dbt, and a production Gen AI system featuring RAG and natural-language-to-SQL capabilities. You will utilize a technical stack including Kafka, S3, Hive, Iceberg, Cassandra, Postgres, DynamoDB, ElasticSearch, Aurora MySQL, Trino, Spark SQL, dbt, Nomad, Docker, Kubernetes, and AWS. Daily work involves heavy coding in SQL, Python, Go, Java, and TypeScript/JavaScript to solve complex data volume and cloud cost challenges.

What you'll do

  • Own and support a data warehousing platform serving 250K daily queries over 20PB of data.
  • Manage an event ingestion pipeline processing 6 to 7 billion events per day.
  • Maintain and evolve the Airflow orchestration platform for the analytics organization.
  • Build a cost-attribution pipeline to map AWS cloud spend to specific reports, queries, and dbt models.
  • Develop a forecast-driven autoscaling control loop for the shared Trino cluster and dbt worker pool.
  • Create a production Gen AI system featuring natural-language-to-SQL and RAG over the data catalog.
  • Provide ongoing production support and participate in an on-call rotation for all owned platforms.
  • Reconcile cost numbers with Finance and align technical priorities with business requirements.

What we're looking for

  • At least 6 years of experience in software engineering.
  • At least 1 year of experience with cloud computing (AWS, Microsoft Azure, or Google Cloud).
  • 10+ years of engineering experience owning and supporting mission-critical applications and platforms in production.
  • Deep experience with Kafka, streaming technologies, and enterprise data platforms.
  • Fluency in JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, plus container orchestration (Docker/Kubernetes) and AWS tools.
  • Experience with production Gen AI (RAG, vector/graph stores, LLM tool-use) and a longer ML/AI production arc.
  • Claude Code fluency including daily use, skill authoring, and PR-level deliverables.
  • Master’s Degree (preferred).
  • 9+ years of experience in at least one of JavaScript, Java, TypeScript, SQL, Python, or Go (preferred).
  • 4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service (preferred).
  • 4+ years of experience in open source frameworks (preferred).
  • 1+ years of people management experience (preferred).
  • 2+ years of experience in Agile practices (preferred).

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