Sr Manager IC, FinOps & AI Enablement — Analytics Team (Remote - Eligible)

Capital One; McLean (VA); Remote; USD 210,000 - 270,000; Full time

Job summary

Capital One seeks a Sr Manager IC in FinOps & AI Enablement for the Analytics Team. You will own cost and AI leverage across a multi-petabyte data platform, delivering three new systems in six months while handling production support and on-call duties.

This role emphasizes architecture, cross-team collaboration, and implementing scalable AI-enabled insights. You will work with a stack including Kafka, Airflow, dbt, Trino/Presto, Nomad, Docker/Kubernetes, and AWS.

Qualifications

• Bachelor’s Degree required; 6+ years software engineering experience; 1+ year cloud computing (AWS, Azure, GCP).
• Experience with large-scale data platforms, production systems, and cost/infrastructure optimization.
• Fluent with a broad stack: JS/TS, Java, Python, SQL, Go; strong cloud and open-source ecosystem.

Responsibilities

• Own cost- and AI-leverage layer of analytics platform; ship three net-new systems in first six months.
• Lead production support and on-call rotation for platforms and models.
• Oversee data warehouse, event ingestion, and Airflow orchestration stacks.
• Develop cost-attribution and forecast-driven autoscaling pipelines; build Gen AI system for NL2SQL/RAG.

Skills

Kafka

Streaming platforms

Enterprise data tech

JavaScript/TypeScript

Python

SQL

Go

AWS

Forecast-driven scaling

Gen AI / RAG

Education

Bachelor's Degree

Master's Degree

Tools

Kafka

Airflow

dbt

Trino/Presto

Nomad

Docker

Kubernetes

Spark SQL

AWS tools

Job description

Sr Manager IC, FinOps & AI Enablement - Analytics Team (Remote - Eligible)

The role Own the cost and AI-leverage layer of the analytics platform behind Capital One Shopping - the systems between petabyte-scale data and the humans and tools that query it. This is an own-and-build role, not a maintenance seat: you own the production platforms below, and in your first six months you ship three net-new systems on top of them. You'll report to the Engineering Director for the Shopping data platform as one of two senior IC pillars of the analytics org.

You own the technology choices and the strategic backlog and priorities for this surface - and you carry ongoing production support and an on-call rotation for these platforms and the models on them. You build the three net-new systems below on top of that operational base.

What you own

• A data warehousing platform serving ~250K queries/day over ~20PB.
• An event ingestion pipeline taking in 6–7 billion events/day.
• The Airflow orchestration platform.

What you'll build

• A cost-attribution pipeline that parses Trino query logs at production traffic and attributes real AWS dollars to every report, query, user, and dbt model - reconciled against a ~$750K/month cloud bill.
• A forecast-driven autoscaling control loop for the shared Trino cluster and dbt worker pool - turning today's event-only Nomad autoscaler (Prime Day, Cyber Week) into steady-state, forecast-driven capacity - the single largest lever on the analytics AWS bill.
• A production Gen AI system - natural-language-to-SQL or RAG over the data catalog - with real LLM tool-use, grounding, and cost guardrails, adopted by internal teams.

The stack Kafka streaming backbone into an S3 lakehouse (Hive + Iceberg), Cassandra, Postgres, DynamoDB, ElasticSearch, Aurora MySQL. Queried through Trino/Presto and Spark SQL, modeled in dbt, orchestrated on Airflow and Nomad and containers (Docker/Kubernetes), on a deep AWS footprint. SQL and Python daily; Go, Java, and TypeScript/JavaScript across the surrounding platform.

The day-to-day 'Manager' is the level, not the job - this is an individual-contributor role, and you'll spend most of your day hands-on in the editor. Roughly 70% building: writing the log-parsing and cost-attribution logic and its dbt models, building and tuning the forecast-driven autoscaler control loop, and building the RAG / natural-language-to-SQL system yourself. The other ~30% is technical coordination - reconciling your cost numbers with Finance, the R&D memo, aligning report owners - not status decks or people-management. Daily rhythm is multi-terminal Claude Code: query-log analysis in one, dbt work in another, AI iteration in a third. No direct reports - you build.

What we're looking for

• 10+ years engineering experience owning and supporting mission-critical applications and platforms in production
• Deep experience with Kafka and streaming technologies and platforms
• Experience with enterprise data technologies and platforms
• A track record working with extremely large traffic and data volumes
• Fluency across a real stack: JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, open-source RDBMS and NoSQL databases, container orchestration (Docker and Kubernetes), and a broad range of AWS tools and services
• Forecast- or workload-driven infrastructure scaling on a shared platform - you've scaled shared infra up and down against a forecast, not just event-driven bursts
• Production Gen AI - RAG design, vector/graph stores, LLM tool-use - on top of a longer ML/AI arc (ranking, recommendation, or comparable production ML predating the 2023 Gen AI boom)
• 0-to-1 delivery of a product that booked measurable revenue or adoption in its first weeks, plus a lead-engineer role modernizing an ingest pipeline off a legacy provider onto a cloud-native stack
• Experience directing a cross-team migration or deprecation at senior-executive scope to completion
• A broad background and a genuinely fast learner - the stack keeps moving
• Comfortable working with large teams on large-scale systems, and cross-functionally (weekly Finance/BizOps and Analytics cadences) Claude Code fluency - daily use, skill authoring, PR-level deliverables (hard requirement)

Basic Qualifications

• Bachelor’s Degree
• At least 6 years of experience in software engineering (Internship experience does not apply)
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications

• Master’s Degree
• 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go
• 4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service
• 4+ years of experience in open source frameworks
• 1+ years of people management experience
• 2+ years of experience in Agile practices

Remote (Regardless of Location): $209,000 - $238,500 for Sr. Lead Software Engineer

McLean, VA: $229,900 - $262,400 for Sr. Lead Software Engineer

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website.

Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace.

Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

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Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit.