Senior AI Metrics Portal Architect

Ampcus Inc; Chantilly (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Ampcus Inc. is seeking a Senior Data Scientist focused on AI metrics and portal development in Chantilly, VA. You will own the full lifecycle of AI program metrics, architect data models, and implement dashboards and AI-driven queries to support business decisions.

The role combines data science, analytics engineering, and software development to deliver a scalable metrics platform, with SAFe/Agile delivery and enterprise integration.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Analytics, or related field.
• 6–10 years of experience in data science, analytics engineering, or related field.
• Proven experience owning the full lifecycle of metrics/KPI frameworks (definition through implementation).
• Experience building data products, analytics platforms, or metrics systems.
• Experience working in Agile and SAFe environments.

Responsibilities

• Own AI metrics lifecycle from definition to operation and continuous evolution.
• Design, build, and operate a modern AI Metrics Hub with dashboards and self-service capabilities.
• Develop and maintain SQL and Python logic for KPI calculation and data pipelines.
• Integrate and normalize data from multiple sources and ensure data quality and performance.
• Collaborate with AI program leadership, data engineers, and platform teams to deliver iterative, scalable solutions.

Skills

SQL

Python

Data modeling

KPI design

Agile/SAFe

Data visualization

NLP / RAG

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Analytics, or related field

Tools

Claude Code

Databricks

Collibra

APIs / Backend basics

Job description

Ampcus Inc. is seeking a Senior Data Scientist focused on AI metrics and portal development in Chantilly, VA. You will own the full lifecycle of AI program metrics, architect data models, and implement dashboards and AI-driven queries to support business decisions.

The role combines data science, analytics engineering, and software development to deliver a scalable metrics platform, with SAFe/Agile delivery and enterprise integration.