Principal Data Architect

Key Responsibilities

• Lead the design, development, validation, and documentation of data remediation approaches, analytical methods, to support AI/ML solutions.
• Ensure all data approaches align with the LESA Data Quality Potential Error Inventory and comply with applicable DHS/ICE policies.
• Develop AI and machine learning models to detect, remediate, and prevent data quality issues, utilizing cleaned and annotated datasets from ongoing remediation efforts.
• Oversee the integration of AI-driven models, automation scripts, dashboards, and other data quality tools.
• Collaborate with stakeholders to identify data quality issues, determine root causes, and recommend or implement corrective actions.
• Facilitate user training and knowledge transfer on analytics and data quality processes.

Qualifications

• Minimum bachelor’s degree in data science, statistics, computer science, engineering, mathematics, or a closely related discipline; an advanced degree (master’s or doctorate) is preferred.
• At least eight (8) years of experience in data science, advanced analytics, or a closely related field, with hands-on experience designing and implementing analytical solutions in operational settings.
• Demonstrated experience in applying advanced statistical techniques, machine learning, and AI to real-world datasets; proficient with modern data analytics toolsets (SQL, Python, R, Databricks, etc.); strong communication skills, with the ability to explain technical concepts clearly.

Certifications/Clearance

• Required: SECRET Security clearance or ability to obtain one, as required for accessing sensitive data.

We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law. The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary.

EEO Statement

ASRC Federal and its Subsidiaries are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.