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

Capital One • McLean, VA

2d • $209,000 - $262,400 • Remote

About The Position

The role involves owning the cost and AI-leverage layer of the analytics platform behind Capital One Shopping. This is an "own-and-build" role focused on production platforms, with an expectation to ship three net-new systems within the first six months. The position reports to the Engineering Director for the Shopping data platform and is one of two senior individual contributor pillars of the analytics organization.

Requirements

• 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
• 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
• Experience with forecast- or workload-driven infrastructure scaling on a shared platform
• Experience with 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)
• Experience with 0-to-1 delivery of a product that booked measurable revenue or adoption in its first weeks
• Experience as a lead-engineer 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
• 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)
• 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)

Nice To Haves

• 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

Responsibilities

• Own, support, and evolve three production platforms: a data warehousing platform serving ~250K queries/day over ~20PB, an event ingestion pipeline taking in 6–7 billion events/day, and the Airflow orchestration platform.
• Serve as the Subject Matter Expert (SME) and mentor for analysts, BAs, and engineers using these platforms.
• Own technology choices and the strategic backlog and priorities for this surface.
• Carry ongoing production support and an on-call rotation for these platforms and the models on them.
• Build a cost-attribution pipeline that parses Trino query logs and attributes AWS dollars to every report, query, user, and dbt model, reconciled against a ~$750K/month cloud bill.
• Build a forecast-driven autoscaling control loop for the shared Trino cluster and dbt worker pool to manage capacity based on forecasts.
• Build a production Generative AI system, such as natural-language-to-SQL or RAG over the data catalog, with LLM tool-use, grounding, and cost guardrails, for adoption by internal teams.

Benefits

• Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
• Eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).

What This Job Offers

• Job Type: Full-time
• Career Level: Senior