AI Metrics Architect & Analytics Platform Lead

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

Job summary

Ampcus Inc in Chantilly, VA is seeking a Data Scientist to own the full lifecycle of AI metrics and the AI Metrics Hub. The role blends data science, analytics engineering, and software development to define, implement, and continuously improve enterprise metrics and dashboards.

You will architect data models, pipelines, and NLP/RAG capabilities, collaborate in Agile/SAFe settings, and partner with business stakeholders to deliver self-service insights at scale.

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/or SAFe environments.

Responsibilities

• Own the full lifecycle of AI metrics, including definition, implementation, and operational monitoring.
• Define and maintain a comprehensive AI metrics framework, including ROI, performance, risk, and cost.
• Translate business questions into well-defined metrics and models.
• Architect scalable metric models with KPI definitions and aggregation strategies.
• Develop and maintain SQL and Python logic for KPI calculation; integrate data from multiple sources.
• Design and build the AI Metrics Hub with dashboards and self-service views.

Skills

SQL

Python

Data modeling

KPI design

Stakeholder communication

Education

Bachelor’s or Master’s degree in Data Science/CS/Analytics

Tools

Databricks

APIs (FastAPI)

Job description

Ampcus Inc in Chantilly, VA is seeking a Data Scientist to own the full lifecycle of AI metrics and the AI Metrics Hub. The role blends data science, analytics engineering, and software development to define, implement, and continuously improve enterprise metrics and dashboards.

You will architect data models, pipelines, and NLP/RAG capabilities, collaborate in Agile/SAFe settings, and partner with business stakeholders to deliver self-service insights at scale.