Analytics Modernization Architect

Guidehouse; Charlotte (NC); On-site; USD 92,000 - 153,000; Full time

Benefits offered by this job

Medical Insurance

401(k) Plan

Paid Holidays

Parental Leave

Tuition Reimbursement

Discretionary Bonus

Job summary

Guidehouse seeks an Analytics Modernization Lead to drive modernization of analytic workflows via SAS-to-R/Python migrations, open-source tools, and modern software practices. You will set governance, validation, and reproducibility standards across public health data environments.

You will collaborate with biostatisticians, epidemiologists, and data scientists to ensure analytic integrity and scalable platforms, including cloud-based analytics environments and CI/CD pipelines.

Qualifications

• Eight or more years of professional experience in analytics modernization, statistical programming, data science, or related fields.
• Experience leading SAS-to-open-source migrations (SAS to R/Python) and validating analytical equivalence.
• Proficiency with SAS macros, PROC SQL, data steps, and production analytics environments.
• Experience with Git, GitHub, Azure DevOps, CI/CD, version control, and software lifecycle practices.

Responsibilities

• Lead analytics modernization initiatives across surveillance, research, and program evaluation.
• Develop roadmaps, governance frameworks, and validation plans for migration efforts.
• Oversee migration of SAS workflows to R/Python while preserving analytic intent and output integrity.
• Establish automated testing, regression validation, and reproducibility controls.
• Mentor teams in modern development practices and documentation standards.

Skills

SAS

R

Python

Git

Azure DevOps

CI/CD

Data Science

Macros

Validation

Open Source

Education

Bachelor's degree

Master's degree preferred

Tools

Databricks

Snowflake

Azure

AWS

Kubernetes

Docker

Job description

Guidehouse seeks an Analytics Modernization Lead to drive modernization of analytic workflows via SAS-to-R/Python migrations, open-source tools, and modern software practices. You will set governance, validation, and reproducibility standards across public health data environments.

You will collaborate with biostatisticians, epidemiologists, and data scientists to ensure analytic integrity and scalable platforms, including cloud-based analytics environments and CI/CD pipelines.