Skills

Python SQL Data Governance Problem-solving Databases Analytical Skills AWS Shell cloud platforms Analytics NLP

Job Specifications

Role: AI Security Engineer

Location: Charlotte, NC/Chandler, AZ (Hybrid- Onsite 3 days/week & 2 days remote)

Contract: 12 to 24 months

Key Responsibilities:

Provide tuning and optimization support for Security AI data discovery and classification (structured & unstructured data).
Execute data classification efficacy validation strategies to ensure high accuracy and consistency.
Apply precise feedback mechanisms to prevent cascading misclassifications across thousands of columns and datasets.
Monitor and analyze tuning impact on classification results and ensure ongoing compliance alignment.
Maintain data governance integrity and support audit readiness.
Perform internal data scanning across servers and virtual machines.
Scan and analyze large-scale datasets (up to 100+ TB) across enterprise platforms.
Work with cloud-based data sources, primarily on AWS.
Collaborate with analytics, governance, security, and platform teams to align classification outcomes.
Support regulatory compliance efforts related to GDPR, SOX, and other data protection frameworks.
Utilize SQL or other database technologies to analyze, validate, and troubleshoot classification results.
Develop scripts and automation to support scanning, tuning, and reporting activities.

Required Skills & Qualifications:

4–6 years of experience in data classification, data governance, or data analytics roles.
Hands-on experience with Securiti AI or similar data discovery and classification platforms.
Strong understanding of data classification techniques and semantic similarity across enterprise data.
Experience scanning structured and unstructured data at scale.
Proficiency in SQL and experience with relational or enterprise databases.
Experience working with cloud platforms, preferably AWS.
Knowledge of GDPR, SOX, or other data privacy and compliance regulations.
Strong problem-solving and analytical skills.
Experience with scripting (Python, Shell, or similar) for automation and analysis.
Ability to scan data from servers and virtual machines.

Nice-to-Have Skills:

Experience with data governance frameworks and tools.
Familiarity with metadata management, data catalogs, and audit reporting.
Exposure to AI/ML-driven classification or NLP-based data discovery.
Prior experience in large-scale enterprise data environments.

EEO:

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment based on – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

About the Company

Founded in 1999, Mindlance is one of the largest diversity-owned staffing firms in the US and has been on SIA's list of Fastest Growing US Staffing Firms for 10 years. Mindlance has also been recognized as one of the consistently best performing partners to industry-leading MSP programs including Allegis, Kelly, TAPFIN, PROUnlimited, Pontoon, GRI, WorkforceLogiq and Agile-1. What started with contingent staffing has developed to a comprehensive portfolio of workforce solutions. Along with industry specific, talent-centric st... Know more